How to count picoalgae and bacteria with the FACScalibur flow cytometer

Contributors: Josep M. Gasol
E-mail: pepgasol@icm.csic.es
Affiliation: Departament de Biologia Marina i Oceanografia, Institut de Ciencies del mar, CSIC
URL: http://www.icm.csic.es/bio/index_bio.html



This manual (v. 2. November 1999) contains instructions for the routine use of the FACScalibur for counting bacterial and picoalgal concentrations in natural samples. Part of the instructions (like turning on and off or cleaning the machine) will be useful to users of the machine for other applications. However, any user that intends to develop new methods or approximations or that will work with unusual samples will have to manage her/himself on his/her own. I recommend that in such a case, the cytometer manual, and a good cytometry book (like Shapiro's "Practical Flow Cytometry") are read and understood before starting to play around. I also recommend that enough time is allotted to development of procedures before actual samples are run. Needless to say, I offer this information with the assumption that you will report back to me any errors or missunderstandings and you will also report any improvements you make. It took me some months to setup the procedures that are explained below, and some details are still not completely understood. I will appreciate if new information or procedures are reported to me so that I can add them to the document.



CONTENTS A. Principle
B. The FACSCalibur
C. Sampling and fixation
D. Before switching on
E. Switching on
F. Checking that it all works.
G. Running samples a. picophytoplankton
b. bacteria
c. Gating the sample
H. Preparing the stains
I. The bead solutions
J. Diluting the sample
K. Calibrating the flow rate
L. Troubleshooting
M. Cleaning
N. Switching off and leaving
O. Data processing a. bacteria
b. picoalgae
c. minicells
d. a word about CTC
P. Bacterial "size"
Q. Where to buy...
R. How to cite the methods in a paper
S. References


A. Principle

A fluidics system uses pression to force the sample to go through a fixed point in a way in which one particle, in a single drop, at a time circulates in front of a laser beam. Our system has a blue (488 nm) laser. Light dispersed by the particle, and fluorescence emitted by the particle after the laser excitation, are collected in photomultipliers and sent to the computer where data are processed. The procedure is fast, and thousands of particles can circulate per minute. Information about light dispersion as well as fluorescence emitted is collected, combined, and saved to disk.

Figure 1, created by G. Dubelaar, and obtained from this address, shows an overview of the process:


Click image for larger verision


B. The FACSCalibur

All this is implemented in the following machine, common in many oceanography labs:


 
  A.- Liquids (sheath and waste) tanks
B.- Sample (in a tube)
C.- Main controls
D.- Filtration stuff for sorting
E.- Controls of sorting
F.- Laser
G.- Analysis chamber
H.- Photomultipliers and optical filters
I.- Electronics
J.- Laser refrigeration
k.- Switch (on/off)
In a close-up, we can appreciate the details (Fig. 3), in particular, the entrance of the sample (D), the chamber where paricles interact with the laser (B), the photomultiplers (C), and the forward scatter detector, which is the only one that is not a photomultiplier (A).

The machine is controlled by a computer (Fig. 4), which can be turned on by pressing the key in B. The magnetooptical drive A has to be turned on before the computer. The software is protected by a keylock (C) that, once in a while gets disconnected.


Click image for larger verision


 



C. Sampling and fixation.

Fixation of samples is a necessary procedure both because we don't want to loose cells with time and also because fixation aparently facilitates probe entrance into the cell (Bullock 1984). We are currently fixing samples with P+G (1% paraformaldehyde + 0.05% glutaraldehyde final) followed by deep-freezing in liquid nitrogen. Vaulot et al.1989 suggested fixation with 1% glutaraldehyde and Premazzi et al.1992 developed a protocol with 0.1% to 0.5% paraformaldehyde (methanol-free formaldehyde). A good comparison performed by Troussellier et al. (1995) showed that PFA or formalin are better than glutaraldehyde both for cell permeabilization (helping the dye getting in) and for fluorescence maintenance. PFA also did not modify the size characteristics of the cells. Other fixatives used are formaldehyde, paraformaldehyde alone and glutaraldehyde. Furthermore, glutaraldehyde smells really bad. The protocol we use is the same recommended for fluorescent in situ hybridization, and can be cited as Marie et al. (1997).

Some details have to be taken into account for the P+G fixation, :

Preparation of P+G (1 liter):

- Weight 100 g. of PFA (Sigma P6148).

- Place in 880 ml dH2O in a beaker, covered with Parafilm (to reduce water loss through evaporation), and with a magnetic fly. The water has to be very hot. Near boiling.

- Leave for > 24 h in a fume hood on a heater (90°) with magnetic stirring

- After dissolution (it make take days), add 100 ml PBS (phosphate-buffered saline solution). The PBS is prepared with a Sigma P4417 pill (1 tablet in 200 ml)

- Add 20 ml Glutaraldehyde 25%

- Filter through polycarbonate 0.2 µm in the fume hood and with a "dead" filtration system

- Distribute in 5, 20 ml and 50 ml tubes as desired.

- Freeze them in the -70°C freezer.

- Store the tubes at -20°.

- Once unfrozen, a tube should be used within a week or discarded.

Fixation: - Add freshly unfrozen P+G to sample (10% of sample volume).

- Leave on bench in the dark for 10 min to allow complete cell fixation.

- Deep freeze in liquid N2

- After some hours, the sample can be placed at -20 °C or, much better, at -70°C

 


D. Before switching on
 
 

Before switching the machine on, the following rules should be complied with:

- Write your name in the log file (usually placed in Fig. 4, G) and fill in the details.

- Get a removable magnetooptical disk (nothing but settings can be stored in the computer’s hard disk).

- Get yourself a bead solution (see below), sonicate the beads (5 min), and count them under the epifluorescence microscope (see below).

- Take the samples and the stain out of the freezer and let them unfreeze.

- Get a small (50 ml) amount of MilliQ water

- Make sure there are enough tubes for the number of samples you've got.

- If there aren’t enough tubes or dye, talk to the facility supervisor.

- The needed automatic pipettes should be in the drawer (F) just below the computer.
 
 
 
 



E. Switching on

Our machine has to be switched on 15 min before the computer is turned on. It has to warm up or else the computer will not recognize the machine. In some models you can hear a "click" when the machine is ready and the computer can be turned on.

Once the machine is on, the first step is to check for how much sheath fluid is there. Do so by opening the left container in the machine. You will see two plastic containers with liquid:


Click image for larger verision

- Make sure there is a water-filled tube in position in the machine (A in Fig. 6).

- The one at the right side (A, Fig. 5) is the Waste tank. It should be emptied. Unscrew the connections (B) at the top (CAREFULLY, it's not necessary to break the tubing, C). Throw the liquid through the sink.

- The left one, covered by a black metal jacket, is the Sheath liquid tank (D). To remove it, you have to: First, get the pressure out by moving the black valve (E) towards you. Second, remove the black jacket (F) by pushing it backwards. Third, unscrew the connections at the top (CAREFULLY, it's not necessary to break the tubes).

- Go upstairs and fill the tank with MilliQ water. (this requires opening the MilliQ machine 10 min in advance, writing down your name and amount of water used, removing the filter at the MilliQ water outing -it might contaminate water instead of filtering it-, and getting the water).

- Put both tanks in their place. Close the connections (CAREFULLY, it's not necessary to break the tubs). Put the black jacket back in place. Put pressure on (valve towards the wall).

- Let water circulate by opening the white valve (G) at the front. This action should remove all air bubbles from the tubing. Close that valve afterwards. No air bubbles (or very small ones) should be visible. If a big bubble is in the filter (H) or around it, remove the connection of the filter from the central panel (I), and push with your nails the side of the tip until water comes out.

- Close the Liquid receptacle, and push the "Prime" pilot light (Fig. 6, F, red color) on the machine. Once it turns orange again, throw away the tube with the liquid, and put MilliQ water. Push "Run" (D) and "Hi" speed (C). This action will further clean the tubing. To place a tub in, you have to move sideways the B switch, and be careful at placing the tube so as not to break the metal rod.


Click image for larger verision
By now 15 min have passed so you should be able to open the computer. Open FIRST the magnetooptical. Then the computer. Select your username and type your password.

If the computer has been connected before the machine warmed up, the last icon to appear at the bottom of the screen while the computer initializes will appear with a black cross. If that happens, you have to shut down the computer, wait 10 min and turn it on again. This happens often !

Once in a while, even after rebooting the computer, the cytometer is not seen by the computer. In that case, you have to turn off both computer and cytometer, and on. It has happen often that it's not necessary to wait the 15 min, but you may need to.

Use the time before starting the computer to sonicate your beads for 5 min.
 
 
 



F. Checking that it all works.
 
 

At this point the program CellQuest should be opened. (Go to the Apple menu, there under Aplicacions Citometria, you will find an access to CellQuest). An untitled window will appear. Close it. Open the "General" folder which is placed inside the "Users" folder of the Hard disk. There should be a folder called "Fulls". There, two files can be found: one called "Bacteria" and another one called "Picoalgae". Open one or the other depending on what intend to count.

Next, under the menu Acquire, open "Connect to cytometer". If this takes a long time (> 30") before appearing, turn down the computer and start again.

After the Acquisition Control window appears, select, under the menu Cytometer the windows "Threshold", "Detectors/Amp" and "Compensation". Place the windows wherever you like on the desktop. You should also call for the window "Status" and the window "Counters" (under menu Acquire).

Now, under the menu Cytometer call "Instrument settings". Open, under the "General" folder which is placed inside the "Users" folder of the Hard disk the folder called "Settings". Two files can be found there: one called "Bacteria settings" and another one called "Fitoplàncton settings". Select whichever you need for your analysis but don't forget that the Fitoplancton one is optimized to count prochlorophytes, cyanobacteria and picoeukaryotes in oceanic samples. Once this is done, the button called "Set" has to be pushed. And then "Done".

Two processes should be checked befor starting to work. One is slightly more technical ("alignement") and should only be done routinely by the facility superviser. The other process ("cleanness") must be done always.

• Alignement. Check that the B&D beads have the right CV in all the detectors. This is done, once a month, by the facility supervisor.

All coefficients of variation of fluorescent 2 µm beads should be < 2%

With linear adcquisition at gains ~ 400.

• Cleanness. Fill half a tube with MilliQ water. Place it in the cytometer. To do so, you have to:

a) make sure the cytometer is in "Standby" (Fig. 6, E)
b) carefully move to right or left the black round thing onto which tubes are placed (Fig. 6, B).
c) bring down the tube. Do so smoothly, with care not to break the metal tubing
d) place your tube.
e) push up your tube.
f) close the black thing.
g) Push "Run" (Fig. 6, D).
The "Run" button should turn green. If it stays in orange, first push up the tube. Secondly change the tube (see troubleshooting). Thirdly, call the facility superviser.

In the "Acquisition Control" window, make sure that "Setup" is selected (it has a cross in the square). Push Acquire. Now the machine starts seeing things.

It is possible that many particles appear initially. Wait for some time (~10 min). The rate of particles appearing should be below 20 per second-1. If it stays high, the "cleaning protocol" (see below) should be followed. You can see the rate of particle passage in the Counters window.
 
 
 



G. Running samples
 

Your bead solutions should be sonicated for 5 min. before the start of the session.

a. Pico and nanophytoplankton.

Standard settings that work for me are: FSC: E01, SSC: 380, FL1: 400, FL2: 505, FL3: 590 (Threshold at FL3: 60). All acquisition in Log.

Standard run between 0.6 and 1.0 ml of sample, at HI speed (~46 µl min-1) and with 10 µl of a 105 beads ml-1 solution. I usually terminate the run after 10 - 12 minutes or when 10.000 particles have been recorded.

By default a dot plot of SSC vs. FL3 and another one of FL2 vs. FL3 will be displayed together.

DON'T FORGET to write down in your notebook the sample volume and the volume of beads added.

Procedure:

a) Put the sample in the tube.

b) add the beads, on the wall and making sure the drop doesn't remain in the tip of the pipette.

c) vortex the tube.

d) put the machine in "Standby".

e) change the tube.

f) put the machine in "Run" (if the light stays in orange, see below).

g) In the Acquisition Control window, push "Pause", then "Abort", then make sure "Setup" is on, and then push "Acquire".

h) Let the machine run for a few seconds. Watch that the populations appear. When happy with what you see, prepare the machine for saving the data. You should see the beads appear in channels numbers SSC: 3E2 and FL3: 1E2.

i) Go to the menu Acquire, and select "Parameter description". Give a name to the sample, and select the folder where it will be stored. Remember that it MUST be in a magnetooptical disk. By default 10.000 particles will be acquired.

j) In the Acquisition Control window, push "Pause", then "Abort". Click on "Setup" to remove the cross, and now push "Acquire". The data will start to be acquired.

Notes:

- If the sample runs out before the end of the acquisition, air will enter the sample and it will be tough to analyze, so keep an eye on the sample.

- Once you are fed up with waiting, you can always store what you got by pushing "Pause" and then "Save" in the Acquisition Control window.

- Don't ever even think of changing any of the public settings. If you consider yourself a power user, save your modifications with a different name and in your folder. And READ THE MANUAL !

- If you only see noise (but you are sure you had your sample), a gate can be placed (see below for instructions).
 

 
b. Bacteria. Standard settings that work for me are: FSC: E02, SSC: 400; FL1: 511, FL2: 400, FL3: 590 (threshold a FL1: 72). All acquisition in Log.

Standard run 0.4 ml of sample, at LO speed (~19 µl min-1) and with 10 µl of a 106 beads ml-1 solution. I usually terminate the run after 10.000 particles have been recorded which should happen in around 1-2 minutes.

By default a dot plot of SSC vs. FL1 and another one of FL1 vs. FL3 will be displayed together.

DON'T FORGET to write down in your notebook the sample volume and the volume of beads added.

Procedure:

a) Put the sample in the tube.

b) add 4 µl of stain solution (see below). Vortex. Wait 10 minutes with the tube in the dark. This is a high concentration (5 µM final of stain). It will stain equally well with 2 µl (the recommended 2.5 µM), but this is difficult to pipette. And increasing the sample volume to 1 ml implies that you will spend all your sample in a single run. However, I have checked that there is no change in the response of the sample with varying concentrations from 1 µM until 25 µM. We can always dilute more the stain, but we won't do it in routine counting mode.

c) add the beads, on the wall and making sure the drop doesn't remain in the tip of the pipette.

d) vortex the tube.

e) put the machine in "Standby".

f) change the tube.

g) put the machine in "Run" (if the light stays in orange, see below).

h) In the Acquisition Control window, push "Pause", then "Abort", then make sure "Setup" is on, and then push "Acquire".

i) Let the machine run for a few seconds. Watch that the populations appear. When happy with what you see, prepare the machine for saving the data. You should see beads fall in channels ~ 103 for SSC and FL1, and bacteria fall in the channels around 101 for SSC and 102 for FL1.

i) Go to the menu Acquire, and select "Parameter description". Give a name to the sample, and select the folder where it will be stored. Remember that it MUST be in a magnetooptical disk. By default 10.000 particles will be acquired.

j) In the Acquisition Control window, push "Pause", then "Abort". Click on "Setup" to remove the selection, and now push "Acquire". The data will start to be acquired.

Notes:

- Don't ever even think of changing any of the public settings. If you consider yourself a power user, save your modifications with a different name and in your folder. And READ THE MANUAL !

- If you only see noise (but you are sure you had your sample), a gate can be placed (see below for instructions).

- Keep an eye at the speed of sample passage. If it is above 800 particles s-1, then you will be underestimating true concentration. You will have to dilute your sample. See below for instructions.

Speeds of sample passage (Calibrated March'98)

LO: 18.4 events s-1

ME: 24.6 events s-1

HI: 45.9 events s-1
 
 

C. Gating the sample.

Sometimes there is a lot of noise coming at low fluorescent levels. If you store all the data, maybe only 500 out of the 10000 events acquired are of interest. To avoid that happening, we can always gate the sample.

Noise usually occurs at high SSC and low FL3 when running for picoalgae (but it might also occur at low SSC and low FL3), and at low SSC and low FL1 when running for bacteria.

To gate the sample, you have to:

a) Stop acquiring data. Push "Abort" in the Acquisition Control window.

b) Call the Tool palette and select the "Polygonal-region tool" (sixth in the right side).

c) create a CLOSED window, that includes beads and cells and lets out noise.

d) Go to the menu Acquire and select "Acquisition and storage".

e) Select "R1 = G1" in all the menus where "All" is selected (that is, in "Accept", in "Event count" and in "Data file will contain").

f) Now you can proceed as usual.
 

Note that if you want to see the rate of cell passage, in the Counters window you have to extend it down (by clicking in the upper-right little square). Now the "true" number of events stored and the true rate is the one that you see in the lower left part of the square.
 


H. Preparing the stains

A description of how to prepare a new batch of Syto13 follows. Preparing other stains (PicoGreen, SybrGreen I and II...) follows pretty much the same protocol.

• Buy the stuff from Molecular Probes (fax: 31 71 5233419). Catalog number S-7575, size 250 µl. If you buy them 5 at a time it is way cheaper. Keep searching their web (www.probes.com) for updates. ICM costumer number is F7364.

• The stuff will come next day. Label the box (owner and date). Place it in the freezer.

• When ready, get yourself DMSO (bought from SIGMA), 20 Eppendorf vials, a plastic bag, a >25 ml plastic tube, and pipettes and tips. Wear gloves all the time.

• Let the MP vial with the stuff unfreeze. Pipete the 250 µl and place them in the plastic tube. The stuff is heavy and some of it will remain on the tip and on the walls of the vial. With a new tip, dispense 200 µl of DMSO in the MP vial, vortex, pipette it out to the plastic tube. Repeat three times. Fill up to 2.5 ml of DMSO (that is add: 2500 - 250 — (6*(200)) = 1050 µl).

• Clean the first tip with the DMSO-Syto13 solution and add it back to the plastic vial.

• Distribute the solution in the Eppendorf tubes (2 200 µl per eppendorf). It is now at 500 µM concentration. Label them with S13. Put them in a plastic bag that you label with your name and date. Put them in the freezer.
 
 



I. The bead solutions

Prepare the bead solutions always in glass Pyrex bottles. Keep them always refrigerated. Count them every day. Stain with Syto13 (or with DAPI) once in a while and after a long time without being used.

Preparation of the "Backup solution":

Place 1 drop of beads in 18 ml MilliQ water + 2 ml of Glutaraldehide 10%

Preparation of a 106 solution:

20 ml MilliQ + 3 ml of backup solution (previously sonicated for 5 min)

Preparation of a 105 solution:

20 ml MilliQ + 0.7 ml of Backup solution (previously sonicated for 5 min)

Label the bottles with your name, the date and the approx. concentration.

Write down in the book date and characteristics of the prepared bead batches.
 

Counting the bead solutions

Get 1 ml of bead solution and place in a tub together with 2 ml of MilliQ or PBS.

Prepare a 0.2 µm black Nuclepore -GTBP- (or Poretics) and a backing 0.8 µm AA Millipore filter. Place the backing filter in the tower, place a drop of water. Connect vacuum until water is gone. Disconnect vacuum. Place the 0.2 µm filter. Place the tower. Vortex the tube. Place the sample in the tower. Connect the vacuum until all water is gone. Remove tower, remove filter and let dry. Disconnect the vacuum.

Place a drop of low fluorescence oil on the slide. Place the filter, place another drop of oil and the coverslip. Flat down the coverslip with the help of the forceps .

Count the beads under epifluorescence (blue or UV light, it doesn't matter). COUNT ONLY SINGLE BEADS. At least 30 fields, and at least 200 beads. Try to count a whole transect, because beads tend to concentrate together at the sides of the filter.

Conversion factor for the "upright" Nikon microscope with the "new" towers:

Concentration = Average per whole field divided by volume filtered and times 54119. Be warned that if you count only lines or small squares you've got to convert that value to the whole field (big square)

Write down in the book the concentration you have measured and the date.

 
Note: We are now using 1 µm (in fact I think they are 0.95 µm) yellow-green beads from Polysciences. I am extremely unhappy with these beads. Sometimes they aggregate a lot, some other times they don't aggregate at all. Sometimes they get easily contaminated, some other times you can leave a bottle on the counter for weeks without any contamination occurring... Some beads are clearly smaller than the assumed average size, dilute concentrations lose beads (e.g. Olson et al. 1993), and all sorts of nightmares. We are in the process of substituing these beads for other brands and qualities.
 
 



J. Diluting the samples
As told before, when the rate of particle passage is above 800 s-1, chances are that you are underestimating true concentration because some cells may pass together ("coincidence"), and also because particles may pass in the "dead process time" zone: the time that the machine (& computer) electronics uses to process the signals obtained before. This "dead time" is difficult to calculate, and everybody says that we shouldn't have problems for rates below 2000 s-1. However, and empirically, we have found evidence that suggests that we should avoid rates of particle passage above 800 s-1. I haven't noticed any systematic patterns when using speeds below 800 s-1. We may as well stay on the safe side and dilute our sample always when we suspect cells are very concentrated (cultures, eutrophic sites) or when we see that the rate is too high.

By using the protocol that follows, we have been able to count samples from Salt lagoons with concentrations above 107 cells ml-1, and salinities above 250‰. Salinity interfers with DNA staining. However, a 20-fold dilution of these samples generated both concentrations and salinities within limits of procedure. Note that the samples should have been fixed if we intend to dilute the,

For dilution, use always the same liquid that you are using as Sheath fluid (usually MilliQ water). If you don't, SSC signals are off and fluorescent signals may also be off.

Test ALWAYS that this liquid is bacteria-free.

DON'T dilute more than 20 times, without checking what happens if you do.

Process:

a) Put the sample (0.4 ml)

b) Put the stain, vortex and wait for 15 min.

c) dilute (with e.g. 0.4 ml of MilliQ).

d) Immediately add the beads, vortex the sample, and run it.



K. Calibrating the flow rate

An alternative way of performing direct concentration measurements relies on a good calibration of the sample flow rate. To determine it the following procedure can be done:

Fill at least 5 tubes with 1-2 ml of water.

Weight the tubes to the third decimal mg.

Run the samples for different times (1 to 10 min)

Reweight the samples

Plot weight difference (in mg) againsts time (in min)

Regress it and determine the slope. This is the flow rate.

This is an example for the three sample flow rates ("Lo", "Me", "Hi")
 
 


 
  Note that there is no guarantee that the flow rate is constant. In particular, it is thought that when the sheath fluid reservoir is completely full, or almost empty, the flow rate probably varies. However, using the flow rate is a simple alternative to measuring concentrations using beads and can be used as a complementary method to be more certain about the calculated concentrations. Some researchers calibrate dailly the flow rate with this purpose.
 
 


L. Troubleshooting

Typical problems are:

- The cytometer does not respond                             Rebooth cytometer & computer

- The concentrations have nonsense                          Pipettes are disequilibrated

- The cytometer never gets clean                                Use the bleach solution

- The "Run" button stays in orange                            check the tube The tube has a crack. Change it.

                                                                                    check for air bubbles Remove air (see above).

- A window saying "The cytometer is not ready" appears

                                                                                    A problem with the laser (talk to the superviser).

                                                                                    Sheath fluid run out.
 
 


M. Cleaning

When you are finished, you have to clean the machine. If you did not use any stains, you can simple run MilliQ water for 10-15 min at "HI" speed. This should be enough for removing the rests of samples and beads accumulated in the tubing.

If you used stains, cleaning has to be done carefully. We currently set four levels of cleaning

Level A: 6-10 min of MilliQ water

Level B: 6-10 min of

Level C: 6-10 min of FACSRinse (detergents)

Level D: 6-10 min of diluted commercial bleach

We would use A if not very dirty, A+B+A if more dirty, A+B+C+A, or if very dirty, A+B+C+A+D+A.

Check always the rate of particle passage which should stay at below 20 s-1 (always in setup mode).
 
 



N. Switching off and leaving

The following order is mandatory.

1.- Go under the Acquisition menu, and select "Disconnect to cytometer". This separates the cytometer from the computer.

2.- Put a new tube with MilliQ water in the cytometer, and turn it off.

3.- Quit from the different programs in the cytometer. Do not save settings or CellQuest files unless you know esxactly why you do it. If you save the files, change their name and save them in your folder.

4.- Store the pipettes in the drawer. Save any unused stain in the freezer and the bead solutions in the fridge.

5.- Turn off the vortex

6.- Clean the work surface

7.- WRITE DOWN in the Log-book the number of samples processed and time of disconnection.
 



O. Data processing

Follows a step by step description of how to process the data using the program Paint-A-Gate.

a.- Bacteria

- Open Paint-A-Gate vs. 3 (Apple menu).

- Go to the menu File, under Open PAG set and select in the Users folder, the file "Análisis Bacteria". Nothing will happen. Go to the menu Process and select Load FCS file Select one data file of this kind. A window like the one below will appear.

- Select the red color (menu Paint), and paint the beads as in the right panel of the graph.

- Select the Green color (menu Paint), and paint all the bacteria as in the left panel of the graph.

- Select the blue color (menu Paint), and paint the high DNA bacteria as in the right panel of the graph.


 
 

- Finally, with this process you included some noise particles that happened to be in the middle of the bacteria. To remove them, select the white color (menu Paint), and paint the noise as in the right panel of the graph.


 
 

- If the sample had lots of Prochlorococcus or Synechococcus, they will be stained as chemotrophic bacteria. Then, two options can be done.

- You either consider them bacteria (they are bacteria, I know), count them in an unstained sample and substract the counts


Click image for larger verision

- Or else you delete them using the white color, as in the example below. Note where in the left graph these populations appear.


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- Now the data has been collected. Send the data to your file. To do so, you have first to go to menu Report, and "Open new spreadsheet". Give a name to the file.

- Now you can Report, "Send data to spreadsheet".

- Your data is now in the spreadsheet. Now you can open Excel, select the data of interest and paste it, for example, in a spreadsheet like this one:


Click image for larger verision


 
 
 
 
 
 

b.- Picoalgae

- Open Paint-A-Gate vs. 3 (Apple menu).

- Go to the menu File, under Open PAG set and select in the Users folder, the file "Análisis Fito". Nothing will happen. Go to the menu Process and select Load FCS file. Select one data file of this kind. A window like the one below will appear.

- Select the red color (menu Paint), and paint the beads as in the right panel of the graph.


Click image for larger verision

- Select the green color (menu Paint), and paint the Synechococcus as in the right panel of the graph.


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- Select the blue color (menu Paint), and paint the Prochlorococcus as in the right panel of the graph, OR


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... as in the left graph. Choice between these two options depend on the type of sample, and the amount of noise.


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- Select the yellow color (menu Paint), and paint the picoeukaryotes as in the right panel of the graph.


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- Select the purple color (menu Paint), and paint the nanoeukaryotes as in the right panel of the graph.


Click image for larger verision

- Now the data has been collected. Send the data to your file. To do so, you have first to go to menu Report, and "Open new spreadsheet". Give a name to the file.

- Now you can Report, "Send data to spreadsheet".

- Your data is now in the spreadsheet. Now you can open Excel, select the data of interest and paste it, for example, in a spreadsheet like this one:


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- Picoalgal samples are less homogenous than bacterial samples. Here follow some very different examples:

1.- This is a sample from an Atlantic estuary (cruise Incocéano’97). Note that there are no Prochlorophytes.


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2.- A few milles offshore of the same estuary (cruise Incocéano’97). Note that there lots of Prochlorophytes.


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3.- This is a Mediterranean sample (cruise Varimed’95). Note that there are no Prochlorophytes.


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4.- Same Mediterranean area (cruise Varimed’96) a year later. Note that there this is very different. Note also the fluorescence of the different populations at the surface...


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5.- ... and compare to this deep sample.


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6.- Again in the Mediterranean (cruise Omega’97). Note that there is a new population, half the way between Prochlorococcus and Synechococcus.


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7.- And finally, this is a sample from surface waters in the Equator (Atlantic, cruise Latitud-II, 1995). Note the large number of Prochlorophytes and their very low fluorescence.


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8.- And some meters below the surface. Note the increased number of picoeukaryotes and the higher Prochlorococcus fluorescence.


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c.- minicells

- Open Paint-A-Gate vs. 3 (Apple menu).

- Go to the menu File, under Open PAG set and select in the Users folder, the file "Análisis Minis". Nothing will happen. Go to the menu Process and select Load FCS file. Select one data file of this kind. A window like the one below will appear.

- Select the red color (menu Paint), and paint the beads as in the right panel of the graph.


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- Select the green color (menu Paint), and paint the minicells as in the left panel of the graph.


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- Select the blue color (menu Paint), and paint the Synechooccus as in the right panel of the graph.


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- and proceed as described above.
 
 

d.- A word about CTC analysis

- This is how a CTC sample, which also has algae, looks like. The best way of separating the CTC+ cells (in green) is in the FL3-FL2 plot


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P. Bacterial size
 
 

Literature presents conflicting results on the relationship between cell size and light scattering (see discussion in Gasol & del Giorgio, 2000). Most current bench top cytometers are equipped with a photodiode to capture the light scattered in the forward direction, which is less sensitive than the photomultiplier tubes typically used to collect side scatter and fluorescence. It is our experience that in both FACSCalibur and Coulter, the dispersion of the reference beads is much greater in forward scatter than it is in any other parameter. Cytograms included in recent published papers also often show the same large dispersion of beads as well as of target cells in forward scatter. This limits the usefulness of forward scatter and possibly weakens any relationship with cell size. Some instruments, however, have been equipped with photomultiplier tubes protected by screens to capture light scattered in forward angles, and this probably greatly increases the sensitivity of this parameter. On the other hand, the range of bacterial cell sizes used to establish an empirical relationship between cell size and scatter is also critical. The evidence to date is that forward (and perhaps side) scatter is a good index of bacterial cell volume for larger, typically cultured bacteria, but there is still no convincing evidence that forward scatter can be used to estimate the size of natural bacterioplankton cells in the 0.03 to 0.1 µm3 range.

An alternative to using scattered light as an index of bacterial size, is the use of the fluorescence of DNA-bound stains (Steen & Boye, 1981). Veldhuis et al. (1997) have found that DNA content, as estimated with PicoGreen, varies with cellular C and N content, at least for pico- and nanoalgae. We have also found that filters which are known to be size-selective (Glass fiber and cellulose ester filters) remove a large portion of the Syto-stained cells with the strongest green fluorescence (Gasol & Morán, 1999), offering indirect support to the relationship found by Veldhuis et al. (1997). Troussellier et al. (1999) also found cell size to be related equally to SSC and to DNA fluorescence. We recently found a very good relationship between image analysis measurements of planktonic bacterial size (in the range 0.03 — 0.09 µm3) and the average green Syto13 fluorescence per cell (with data from Prairie et al., submitted) suggesting that indeed, DNA-related fluorescence can be used as a surrogate of bacterial size, although some calibration is needed.


 
 

We have been using this relationship in a wide variety of systems and have found very reasonable estimates of bacterial size except in the most eutrophic environments where long bacterial filaments were abundant (J.M. Gasol and K. Simek, unpublished). Calibration with bacteria of known sizes is required also if we are using DNA-related fluorescence as a means of measuring bacterial size.

The formula is implemented in the excel file used for caculation, and it refers always to 1 µm YG Polysciences beads.
 
 
 



Q. Where to buy...

This is just a compilation of codes, names and fax numbers to speed up buying the things.

 
a) stains
  Molecular probes Fax 31715233419 Syto13 Cat# S7575 (250 µl)


b) beads
 

Polysciences Fax 496221764620 Fluoresbrite 0.2 µm YG Cat# 17151


c) tubes
 

Falcon tubes for cytometry 1000 units sterile Code 2052 10200 pta
1000 units not sterile Codi 2008 7000 pta
In EMB (93 412 3721, fax 93 412 2192)
e) calling the B&D service Fax: 91 8488104
 
 
 

R. How to cite the methods in a paper

Flow cytometry determination of bacterial abundance and biomass. 1.5 ml samples are fixed with 1% paraformaldehyde + 0.05% glutaraldehyde (final), let 10 minuts to fix in the dark, deep frozen in liquid nitrogen and then stored frozen at -70° C. The samples are then unfrozen, stained with Syto13 (Molecular Probes) at 1.6 - 5 µM (diluted in DMS), let 15 minutes to stain in the dark and run through a flow cytometer. We use a bench machine FACScalibur of Becton&Dickinson with a laser emitting at 488 nm. Samples are run at Low speed (approx. 18 µl min-1) and data are adquired in log mode until around 10000 events have been adquired. We dilute the samples when the sample acquisition rate is higher than 800 cells s-1. We usually add 10 µl per 200 µl sample of a 106 ml-1 solution of yellow-green 0.92 µm Polysciences latex beads as an internal standard. Bacteria are detected by their signature in a plot of Side scatter (SSC) vs. FL1 (green fluorescence). If we adjust the settings so that the beads fall in channels ~ 103 for SSC and FL1, bacteria fall in the channels around 101 for SSC and 102 for FL1 parameters. Algae are told apart by spotting a plot of FL1 vs. FL3. In this graph, beads fall in a line, bacteria in another one, and noise in a third one (respectively with more FL3 than FL1). Phototrophic bacteria (Prochlorococcus and Synechococcus) fall in between noise and bacteria. This method is based in that published by del Giorgio et al. (1996) as discussed in Gasol and del Giorgio (2000). The average fluorescence of the bacterial population, as normalized to that of the beads, is a rough approximation of bacterial size. We use the reference line of Paririe et al. (submitted) as a way of estimating average bacterial size. This is, however, calibrated by comparison to image analysis of epifluorescence preparations processed following Massana et al. (1997).

Flow cytometry determination of pico- and nanoalgal concentration. 1.5 ml samples are fixed with 1% paraformaldehyde + 0.05% glutaraldehyde (final), let fix for 10 min., deep frozen in liquid nitrogen and stored frozen at -70° C. The samples are then unfrozen and run through a flow cytometer. We use a bench machine FACScalibur of Becton&Dickinson with a laser emitting at 488 nm. Samples are run at High speed (approx. 60 µl min-1) and data are adquired in log mode until around 10000 events have been adquired. We usually add 10 µl per 600 µl sample of a 105 ml-1 solution of yellow-green 0.92 µm Polysciences latex beads as an internal standard. Synechococcus are detected by their signature in a plot of orange fluorescence (FL2) vs. red fluorescence (FL3). Prochlorococcus have a lower FL3 signal and no FL2 signal. Eukaryotic picoplankton have higher FL3 signals and no FL2 signals. Nanoeukaryotes have much higher FL3 signals. If Cryptomonas are present, they have much higher FL2 and FL3 signals. The settings are adapted for each sample as the populations and their fluorescence may change from sample to sample. With standard settings, beads fall at SSC: 3E2 and FL3: 1E2, and then Prochlorococcus fall at SSC: 1E1 and FL3: 3E1; Synechococcus fall at SSC: 3E1 and FL3: 2E2 and picoeukaryotes at SSC: 1E2 and FL3: > 1E3. Further details can be obtained from Olson et al. (1993, pp. 175-186, In: Kemp et al. (eds.) Handbook of Methods in Aquatic Microbial Ecology, Lewis Publ.).
 
 
 
 



S. For learning more (absolutely all the references you always wanted to read...)

I put together all the references in George Dubelaar’s web page (), which deal mainly on technical aspects and on the analysis of phytoplankton, but are slightly outdated (1997), and all the references in a recent review on the application of flow cytometry to count bacteria in plankton (Gasol, J.M. and P.A. del Giorgio. 2000. Using flow cytometry for counting natural planktonic bacteria and understanding the structure of planktonic bacterial communities. Scientia Marina, in press). If you read them all, you’ll learn a lot !

Ackleson, S.G. and D.B. Robins. 1990. Flow cytometric determinations of North Sea phytoplankton optical properties. Neth. J. Sea Res. 25: 11-18.

Ackleson, S.G. and R.W. Spinrad. 1988. Size and refractive index of individual marine particulates: A flow cytometric approach. Appl. Opt. 27: 1270-1277.

Ackleson, S.G., J.J. Cullen, J. Brown, and M. Lesser. 1993. Irradiance-induced variability in light scatter from marine phytoplankton in culture. J. Plank. Res. 15: 737-759.

Ackleson, S.G., R.W. Spinrad, C.M. Yentsch, J. Brown, and W. Korjeff-Bellows. 1988. Phytoplankton optical properties: Flow cytometric examinations of dilution-induced effects. Applied Optics 27(7): 1262-1269.

Allman, R., A.C. Hann, A.P. Phillips, K.L. Martin and D. Lloyd. 1990. — Growth of Azotobacter vinelandii with correlation of Coulter cell size, flow cytometric parameters, and ultrastructure. Cytometry, 11: 822-831.

Allman, R., A.C. Hann, R. Manchee and D. Lloyd. 1992. — Characterization of bacteria by multiparameter flow cytometry. J. Appl. Bacteriol., 73: 438-444.

Allman, R., R. Manchee and D. Lloyd. 1993. — Flow cytometric analysis of heterogeneous bacterial populations. In: Lloyd, D. (ed.), Flow cytometry in Microbiology, pp. 27-47. Springer-Verlag, London.

Amann, R. I., W. Ludwig and K. -H. Schleifer. 1995. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol. Rev, 59: 143-169.

Amann, R.I., B.J. Binder, R.J. Olson, S.W. Chisholm, R. Devereux, and D.A. Stahl. Combination of 16S rRNA-targeted oligonucleotide probes with flow cytometry for analyzing mixed microbial populations. Appl. Env. Microbiol. 56(6):1919-1925. 1990

Armbrust, E.V., J.D. Bowen, R.J. Olson, and S.W. Chisholm. Effect of light on the cell cycle of a marine Synechococcus strain. Appl. Env. Microbiol. 55(2):425-432. 1989

Bailey, J.E., J. Fazel-Madjelessi, D.N. McQuitty, L.Y. Lee, J.C. Allred and J.A. Oro. 1977. — Characterization of bacterial growth by means of flow microfluorometry. Science, 198: 1175-1176.

Balch, W.M., K. Kilpatrick, P.M. Holligan, and Terry L. Cucci. 1993. Coccolith production and detachment by Emiliania huxleyi(Prymnesiophyceae). J. Phycol. 29: 566-575.

Balch, W.M., P.M. Holligan, and K. A. Kilpatrick. 1992. Calcification, photosynthesis and growth of the bloom-forming coccolithophore, Emiliana huxleyi. Cont. Shelf Res. 12: 1353-1374.

Balfoort H.W., J. Snoek, J.R.M. Smits, L.W. Breedveld, J.W. Hofstraat and J. Ringelberg, Automatic identification of algae: neural network analysis of flow cytometric. Journal of Plankton Research 14(4):575-589,1992.

Balfoort, H.W., Berman Th., Maestrini S.Y., Wenzel A., and T. Zohary (1992). Flow cytometry: instrumentation and application in phytoplankton research. Hydrobiologia 238,89-97

Bassøe, C.-F., O.D. Laerum, J. Glette, G.Hopen, B. Haneberg and C.O. Solberg. 1983. — Simultaneous measurement of phagocytosis and phagosomal pH by flow cytometry: Role of polymorphonuclear neutrophilic leukocyte granules in phagosomal acidification. Cytometry, 4: 254-262

Beck, P. and R. Huber. 1997. — Detection of viability in cultures of hyperthermophiles. FEMS Microb. Lett., 147: 11-14.

Berglund DL and Eversman S: Flow cytometric measurement of pollutant stresses on algal cells. Cytometry 9 (2), 150-155, 1988.

Berglund DL and JR Starkey: Introduction of antibody into viable cells using electroporation. Cytometry 12 (1): 64-7, 1991.

Bernard, L., P. Lebaron, H. Schäfer and G. Muyzer. 1998. — Combination of cellular and molecular techniques with cell sorting for bacterial identificaton of active bacteria in marine waters. Abstracts Sixth European Marine Microbiology Symposium. Sitges., p. 42

Bernarder, R., T. Stokke and E. Boye. 1998. — Flow cytometry of bacterial cells: comparison between different flow cytometers and different DNA stains. Cytometry, 31: 29-36.

Binder, B.J. & S.W. Chisholm. Cell Cycle Regulation in Marine Synechococcus. Appl. Env. Micro. 61(2):708-717. 1995

Binder, B.J. and S.W. Chisholm. Relationship between DNA cycle and growth rate in Synechococcus sp. strain PPC 6301. J. Bact. 172(5):2313-2319. 1990

Binder, B.J., S.W. Chisholm, R.J. Olson, S.L. Frankel, and A.Z. Worden. Dynamics of Pico-phytoplankton, Ultra-Phytoplankton, and Bacteria in the Central Equatorial Pacific. Deep-Sea Res. II 43:907-931. 1996

Blackburn, N., Å. Hagström, J. Wikner, R. Cuadros-Hansson and P.K. Bjørnsen. 1998. — Rapid determination of bacterial abundance, biovolume, morphology, and growth by neural network-based image analysis. Appl. Environ. Microbiol., 64: 3246-3255.

Blanchot J, Rodier M (1996). Picophytoplankton abundance and biomass in the western tropical Pacific Ocean during the 1992 El Nino year: Results from flow cytometry. Deep-Sea Research Part I, Oceanographic Research Papers 43: 877-895

Bloodgood RA., Salomonsky NL. and FD. Reinhart: Use of carbohydrate probes in conjunction with fluorescence-activated cell sorting to select mutant cell lines of Chlamydomonas with defects in cell surface glycoproteins. Experimental Cell Research 173:572-585,1987.

Boddy L., Morris C.W., Wilkins M.F., Tarran G.A., Burkill P.H., Neural network analysis of flow cytometric data for 40 marine phytoplankton species, Cytometry 15, 283-293, 1994

Boddy, L. and Morris, C.W. (1993) Neural network analysis of flow cytometry data. In Lloyd, D. (ed.) Flow Cytometry in Microbiology, Springer-Verlag, Berlin, pp.159-169.

Boddy, L., Wilkins, M.F., Morris, C.W., Tarran, G.A., Burkill, P.H. & Jonker, R.R. (1994). Techniques for neural network identification of phytoplankton for the EurOPA flow cytometer. In OCEANS '94 OSATES: Ocean Engineering for today's technology and tomorrow's preservation. Vol. 1., pp. 565 - 569. IEEE, New York

Bonaly J, Bre MH, Lefort-Tran M and JC Mestre: A flow cytometric study of DNA staining in-situ in exponentially growing and stationary Euglena-gracilis. Cytometry 8(1):42-45,1987.

Bonaly-Cantarel J: Cytophysiological and cytotoxicological studies in unicellular algae the effects of cadmium in Euglena-gracilis cells flow cytometry supply. Bull. Soc. Bot. Fr. Lett. Bot. 135(1):27-40,1988.

Booth, B.C. 1987. — The use of autofluorescence for anlysing oceanic phytoplankton communities. Bot. Mar., 30: 101-108.

Borsheim KY, Harboe T, Johnsen T, Norland S and K Nygaard: Flow cytometric characterization and enumeration of Chrysochromulina-polylepsis during a bloom along the Norwegian coast. Mar. Ecol. Prog. Ser. 54(3):307-309,1989.

Boucher N, Vaulot D and F Partensky: Flow cytometric determination of phytoplankton DNA in cultures and oceanic polpulations. Mar. Ecol. Prog. Ser. 71(1),75-84,1991.

Boye, E., H.B. Steen and K. Skarstad. 1983. — Flow cytometry of bacteria: a promising tool in experimental and clinical microbiology. J. Gen. Microbiol., 129: 973-980.

Brussaard, C.P.D., R. Thyrhaug, D. Marie and G. Bratbak. 1999. — Flow cytometric analyses of viral infection in two marine phytoplankton species, Micromonas pusilla (Prasinophyceae) and Phaeocystis pouchetii (Prymnesiophyceae). J. Phycol., 35: 941-948

Brzezinski MA, Olson RJ and SW Chisholm: Silicon availability and cell-cycle progression in marine diatoms. Mar. Ecol. Prog. Ser. 67(1),83-96,1990.

Buck, K.R., F.P. Chavez and L. Campbell. 1996. — Basin-wide distributions of living carbon components and the inverted trophic pyramid of the central gyre of the North Atlantic Ocean, summer 1993. Aquat. microb. Ecol., 10: 283-298.

Bullock, GR. 1984. The current status of fixation for electron microscopy: a review. J. Microscopy 133: 1-15

Buonaccorsi, G.A. and A. Cunningham: Azimuthal inhomogeneity in the forward light scattered from microalgal colonies, and its use as a morphological indicator in flow cytometry. Limnology and Oceanography 35:1170-1175,1990.

Burkill, P.H.: Shipboard flow cytometry: Sea-trials and analysis and sorting of photosynthetic picoplankton in the Celtic Sea. XII int. SAC meeting. Cytometry, Supplement 1,643,1987.

Button D.K. and B.R. Robertson. 1989. — Kinetics of bacterial processes in natural aquatic systems based on biomass as determined by high-resolution flow cytometry [erratum in Cytometry 1990;11(3):451] Cytometry, 10: 558-563.

Button D.K. and B.R. Robertson. 1993. — Use of high-resolution flow cytometry to determine the activity and distribution of aquatic bacteria. In: Kemp, P.F., B.F. Sherr, E.B. Sherr and J.J. Cole, (eds.). Handbook of methods in aquatic microbial ecology. pp. 163-173, Lewis Pub., Boca Raton.

Button, D.K., B.R. Robertson and F. Jüttner. 1996. Microflora of a subalpine lake: bacterial populations, size and DNA distributions, and their dependence on phosphate. FEMS Microb. Ecol., 21: 87-101.

Campbell L, Carpenter EJ, and Iacono VJ: Identification and enumeration of marine chroococcoid cyanobacteria by immunofluorescence. Applied and Environmental Microbiology 46(3):553-559,1983.

Campbell, J.W. and C.M. Yentsch. 1989. Variance within homogeneous phytoplankton populations, I: Theoreical framework for interpreting histograms. Cytometry 10: 587-595.

Campbell, J.W. and C.M. Yentsch. 1989. Variance within homogeneous phytoplankton populations, II: Analysis of clonal cultures. Cytometry 10: 596-604.

Campbell, J.W., C.M. Yentsch and T.L. Cucci. 1989. Variance within homogeneous phytoplankton populations, III: Analysis of natural populations. Cytometry 10: 605-611.

Campbell, L, Hongbin, L., Nolla, H.A., Vaulot, D. Annual variability of phytoplankton and bacteria in the subtropical North Pacific at station ALOHA during the 1991-1994 ENSO event. Deep-Sea Research 44: 167-192. 1997

Campbell, L. and D. Vaulot. 1993. — Photosynthetic picoplankton community structure in the subtropical North Pacific Ocean near Hawaii (station ALOHA). Deep-Sea Res., 40: 2043-2060.

Campbell, L., H.A. Nolla and D. Vaulot. 1994. — The importance of Prochlorococcus to community structure in the central North Pacific Ocean. Limnol. Oceanogr., 39: 954-961.

Campbell, L., L. P. Shapiro, E. M. Haugen, and L. Morris, Immunochemical approaches to the identification of the ultraplankton: assets and limitations, in Novel Phytoplankton Blooms: Causes and Impacts of Recurrent Brown Tide and Other Unusual Blooms, edited by E. M. Cosper, E. J. Carpenter and M. Bricelj, pp. 39-56, Springer-Verlag, New York, 1989.

Campbell, L., M.R. Landry, J. Constantinou, H.A. Nolla, S. L. Brown, H. Liu and D.A. Caron. 1998. — Response of microbial community structure to environmental forcing in the Arabian Sea. Deep-Sea Res. II., 45: 2301- 2325.

Cantineaux, B., P. Courtoy and P. Fondu. 1993. — Accurate flow cytometric measuremet of bacteria concentrations. Pathobiology, 61: 95-97.

Carr, M.R., Tarran, G.A. & Burkill, P.H. (1994) The application of multivariate statistical methods to the identification of phytoplankton from flow cytometric data: a EurOPA subproject. In OCEANS '94 OSATES: Ocean Engineering for today's technology and tomorrow's preservation. Vol. 1., pp. 570 - 562. IEEE, New York

Carr, M.R., Tarran, G.A. & Burkill, P.H. (1996) Discrimination of marine phytoplankton species through the statistical analysis of their flow cytometric signatures. Journal of Plankton Research 18: (7) 1225-1238

Catala, P., N. Parthuisot, L. Bernard, J. Baudart, K. Lemarchand and P. Lebaron. 1999. — Effectiveness of CSE to counterstain particles and dead bacterial cells with permeabilised membranes: application to viability assessment in waters. FEMS Microb. Letters, 178: 219-226

Cavender-Bares, K., Mann, E., Chisholm, S., Ondrusek, M., and Bididgare, R. Differential response of phytoplankton populations to ocean fertilization. Limnology and Oceanography (submitted). 1997

Coleman, A.W., M. J. Maguire and J.R. Coleman. 1981. — Mithramycin- and 4’-6-diamidino-2-phenylindole (DAPI)-DNA staining for fluorescence microspectrophotometric measurements of DNA in nuclei, plastids, and virus particles. J. Histochem. Cytochem., 29: 959-968.

Collier, J.L. and L. Campbell. 1999. — Flow cytometry in molecular aquatic ecology. Hydrobiologia, 401: 33-53

Comas, J. and J. Vives-Rego. 1997. — Assessment of the effects of gramicidin, formaldehyde, and surfactants on Escherichia coli by flow cytometry using nucleic acid and membrane potential dyes. Cytometry, 29: 58-64.

Comas, J. and J. Vives-Rego. 1998. — Enumeration, viability and heterogeneity in Staphylococcus aureus cultures by flow cytometry. J. Microbiol. Methods., 32: 45-53.

Cook, K. L. and J. L. Garland. 1997. — The relationship between electron transport activity as measured by CTC reduction and CO2 production in mixed microbial communities. Microb. Ecol., 34: 237-247.

Corzo, A., F. Jiménez-Gómez, F.J.L. Gordillo, R. García-Ruiz and F.X. Niell. 1999. — Synechococcus and Prochlorococcus-like populations detected by flow cytometry in a eutrophic reservoir in summer. J. Plankt. Res., 21: 1575-1581

Courties C.and Others, 1994. Smallest eukaryotic organism. Nature 370: 255.

Cowles, T.J., R.J. Olson, and S.W. Chisholm. Food selection by copepods: Discrimination on the basis of food quality. Mar. Biol., 100:41-49. 1988

Crissman, H.A., A.P. Stevenson, D.J. Orlicky and R.J. Kissane. 1978. — Detailed studies on the application of three fluorescent antibiotics for DNA staining in flow cytometry. Stain Technol., 53: 321-330.

Cristina, X.P., X. Vila and C.A. Abellà. (submitted). — Application of flow cytometry for identifying and counting phototrophic sulfur bacteria.

Cucci, T.L., S.E. Shumway, R.C. Newell, R. Selvin, R.R.L. Guillard and C.M. Yentsch. 1985. — Flow cytometry; a new method for characterization of differential ingestion, digestion and egestion by suspension feeders. Mar. Ecol. Prog. Ser., 24: 201-204

Cucci, T.L., S.E. Shumway, W.S. Brown, and C.R. Newell. 1989. Using phytoplankton and flow cytometry to analyze grazing by marine organisms. Cytometry 10: 659-669.

Cullen, J.J., C.M. Yentsch, T.L. Cucci, and H.L. MacIntyre. 1988. Autofluorescence and other optical properties as tools in biological oceanography. SPIE (Ocean Optics IX) Vol. 925: 149-156.

Cunningham, A. and G.A. Buonaccorsi: Narrow-angle forward light scattering from individual algal cells: implications for size and shape discrimination in flow cytometry. Journal of Phytoplankton Research 14:223-234,1992.

Cunningham, A.: A low-cost portable flow cytometer specifically designed for phytoplankton analysis. J Plankton Res 12(1):149-160,1990.

Cunningham, A.: Fluorescence pulse shape as a morphological indicator in the analysis of colonial microalgae by flow cytometry. Journal of Microbial Methods 11:27-36,1990.

Chatila, K., S. Demers, B. Mostajir, J.-P. Chanut and P. Montfort. 1999. — An endogenous periodicity exhibited in the activity of a natural bacterioplankton community isolated in microcosms. Can. J. Microbiol., 45: 555-564

Chekalyuk A.M., Fadeev V.V. and Gorbunov MYu: Diagnostics of primary photosynthesis processes by laser saturation fluorometry. Proc. 4th Int. Conf. on Laser Applications in Life Sciences (LALS Ô92), Jyvaskyla, Finland 1992

Chisholm, S.W. Phytoplankton Size. In P.Falkowski & A.D. Woodhead (eds) Primary Production and Biogeochemical Cycles in the Sea. Plenum Press, N.Y. 1992

Chisholm, S.W., E.V. Armbrust and R.J. Olson. The individual cell in phytoplankton ecology: Cell cycles and applications of flow cytometry. In Platt, T. and W.K.W. Li [eds.] Photosynthetic Picoplankton (Can. Bull. Fish. Aq. Sci. #214), Dept. Fish. & Oceans, pp. 343-369. 1986

Chisholm, S.W., R.J. Olson, E.R. Zettler, R. Goericke, J. Waterbury and N. Welschmeyer. 1988. — A novel free-living prochlorophyte abundant in the oceanic euphotic zone. Nature, 334: 340-343

Christensen, H., L. R. Bakken and R. A. Olsen. 1993. — Soil bacterial DNA and biovolume profiles measured by flow cytometry. FEMS Microbiol. Ecol., 102: 129-140.

Darzynkiewicz, Z. and H.A. Crissman, (eds.). 1990. — Flow Cytometry. Methods in Cell Biology, volume 33. Academic Press.

Davey, H.M. and D.B. Kell. 1996. — Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses. Microbiological Rev., 60: 641- 696.

Davey, H.M. and D.B. Kell. 1997. — Fluorescent brighteners; novel stains for the flow cytometric analysis of microorganisms. Cytometry, 28: 311-315.

Davey, H.M., C.L. Davey and D.B. Kell. 1993. — On the determination of the size of microbial cells using flow cytometry. In: Lloyd, D. (ed.), Flow cytometry in Microbiology, pp. 49-65. Springer-Verlag, London.

Davey, H.M., D.H. Weichart, D.B. Kell and A.S. Kaprelyants. 1999. — Estimation of microbial viability using flow cytometry. Current Protocols in Cytometry, 11.3.1-11.3.20, J. Wiley & Sons

Deere, D., J. Porter, C. Edwards and R. Pickup. 1995. — Evaluation of the suitability of bis-(1,3-dibutylbarbituric acid) trimethine oxonol, (diBA-C4(3)-), for the flow cytometric assessment of bacterial viability. FEMS Microb. Lett., 130: 165-170.

del Giorgio, P.A., D.F. Bird, R. Maranger and Y. T. Prairie. (submitted). — Use of the exclusion nucleic-acid stain TOPRO-1 to assess cell stress or damage in natural bacterioplankton assemblages. Aquat. Microb. Ecol.,

del Giorgio, P.A., D.F. Bird, Y.T. Prairie and D. Planas. 1996. — Flow cytometric determination of bacterial abundance in lake plankton with the green nucleid acid stain SYTO 13. Limnol. Oceanogr.,41: 783-789.

del Giorgio, P.A., J.J. Cole and A. Cimbleris. 1997a. — Respiration rates in bacteria exceed phytoplankton production in unproductive aquatic systems. Nature, 385: 148-151.

del Giorgio, P.A., Y.T. Prairie and D.F. Bird. 1997b. — Coupling between rates of bacterial production and the abundance of metabolically active bacteria in lakes, enumerated using CTC reduction and flow cytometry. Microbial Ecology, 34: 144-154.

DeLeo, P.C. and P. Baveye. 1996. - Enumeration and biomass estimation of bacteria in aqauifer microcosm studies by flow cytometry. Appl. Environ. Microbiol., 64: 3900-3909.

Demers S. (Ed.): Particle analysis in oceanography. NATO ASI Series, G: Ecological Sciences, Vol. 27, Springer-Verlag Berlin Heidelberg, 1991.

Demers S., Kim J., Legendre P. and L. Legendre: Analyzing multivariate flow cytometric data in aquatic sciences. Cytometry 13(3):291-299, 1992.

Demers, S., K. Davis, and T.L. Cucci. 1989. A flow cytometric approach to assessing the environmental and physiological status of phytoplankton. Cytometry 10: 644-652.

Depierreux, C., M.T. Le Bris, M.F. Michel, B. Valeur, M. Monsigny and F. Delmotte. 1990. — Benzoxazinone-kanamycin derivative: a new fluorescent probe for flow cytometry analysis of bacteria (Agrobacterium tumefaciens). FEMS Microb. Lett., 67: 237-244.

Diaper, J. P. and C. Edwards. 1994a. — Flow cytometric detection of viable bacteria in compost. FEMS Microb. Ecol., 14: 213-220.

Diaper, J.P. and C. Edwards. 1994b. — The use of fluorogenic esters to detect viable bacteria by flow cytometry. J. Appl. Bacteriol., 7: 221-228.

Diaper, J.P., K. Tither and C. Edwards. 1992. — Rapid assessment of bacterial viability by flow cytometry. Appl. Microbiol. Biotechnol., 38: 268-272.

Donnelly, C.W. and G.J. Baigent. 1986. — Method for flow cytometric detection of Listeria monocytogenes in milk. Appl. Environ. Microbiol., 52: 689-695.

Dorsey, J., C.M. Yentsch, S. Mayo, and T.L. Cucci. 1989. Rapid analytical technique for the assessment of cell metabolic activity in marine microalgae. Cytometry 10: 622-628.

Dubelaar GBJ and Van der Reijden CS: Size distributions of Microcystis aeruginosa colonies: a flow cytometric approach. Water Science and Technology, 32, 4, 171-176, 1995

Dubelaar GBJ, RR Jonker, JTM Meulemans and JJF van Veen: Phytoplankton analysis by (EurOPA) flow cytometry; current and future applications in environmental control. Proceedings Oceans 94 OSATES, Vol.I, pp.683-689, 1994

Dubelaar, G.B.C., J.W.M. Visser and M. Donze. 1987. Anomalous behaviour of forward and perpendicular light scattering of a cyanobacterium owing to intracellular gas vacuoles. Cytometry, 8: 405-412.

Dubelaar, G.B.J., Groenewegen, A.C., Stokdijk, W., van den Engh, G.J. and Visser, J.W.M. (1989). The optical plankton analyser (OPA): a flow cytometer for plankton analysis, II: Specifications. Cytometry 10, 529-539.

Dubelaar, G.B.J., Visser, J.W.M. and Donze, M. (1987). Anomalous behaviour of forward and perpendicular light scattering of a cyanobacterium owing to intracellular gasvacuoles. Cytometry 8, 405-412.

Dubelaar, GBJ, Cunningham, A, Groenewegan, A, Klignstra, J, Boddy, L, Wilkins, MF, Jonker, RR & Ringelberg, J (1995): A European optical plankton analysis system: flow cytometer based technology for automated phytoplankton identification and quantification. Marine science and technologies. Second MAST days and EUROMAR Market Commission of the European Communities Volume 2, 946-956.

DuRand M. D. and R. J. Olson (submitted) Contributions of phytoplankton light scattering and cell concentration changes to diel variations in beam attenuation in the equatorial Pacific from flow cytometric measurements of pico-, ultra, and nanoplankton. Deep-Sea Research.

DuRand M. D., R. J. Olson and E. R. Zettler (1994) Flow cytometric analysis of phytoplankton growth during diel studies in the Equatorial Pacific. EOS, Transactions, American Geophysical Union, 75, 28-29.

Dusenberry, J.A. and S.L.Frankel. 1994. — Increasing the sensitivity of a FACScan flow cytometer to study oceanic picoplankton. Limnol. Oceanogr., 39: 206-209.

Duysens LNM: The flattening of the absorption spectrum of suspensions, as compared to that of solutions. Biochim.Biophys.Acta,19,1-12,1956.

Edvardsen B. and Vaulot D. Ploidy analysis of the two motile forms of Chrysochromulina polylepis (Prymnesiophyceae) Journal of Phycology. 32: 94-102. 1996

Edwards, C. 1996. — Assessment of viability of bacteria by flow cytometry. In: M. Al-Rubeai and A. N. Emery (eds.). Flow cytometry applications in cell culture. pp. 291-310, Marcel Dekker, New York.

Eisert WG.: Cell differentiation based on absorption an scattering. The Journal of Histochemistry and Cytochemistry 27(1): 404-409, 1979.

Engh G.J. van den, and C. Farmer: Photo-bleaching and photon saturation in flow cytometry. Cytometry 13: 669-677, 1992

Forrest, J.I.M.: Classification of microalgal cells in flow cytometry: the potential of multiple angle light scatter measurements. Ph D. thesis, University of Strathclyde, Glasgow, 1985.

Fouchet, P., C. Jayat, Y. Héchard, M.-H. Ratinaud and G. Frelat. 1993. — Recent advances of flow cytometry in fundamental and applied microbiology. Biol. Cell., 78: 95-109.

Frankel D.S., S.L. Frankel, B.J. Binder, R.F. Vogt: Application of neural networks to flow cytometry data analysis and real-time cell classification, Cytometry 23, 4, 290-302, 1996

Frankel, D.S., R.J. Olson, S.L. Frankel, and S.W. Chisholm. Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populations. Cytometry. 10(5):540-550. 1989

Frankel, S.L., B.J. Binder, H.M. Shapiro, and S.W. Chisholm. A high-sensitivity flow cytometer for studying picoplankton. Limnol. Oceanogr. 35(5):1164-1169. 1990

Frette, L. and P. A. del Giorgio. (submitted) - Species-specific bacterial grazing by ciliates and flagellates measuredusing immunofluorescence labeling and flow cytometry. Appl. Environ. Microbiol.,

Fuchs, B. M., G. Wallner, W. Beisker, I. Schwippl, W. Ludwig and R. Amann. 1998. — Flow cytometric analysis of the in situ accessibility of Escherichia coli 16rRNA for fluorescently labeled oligonucleotide probes. Appl. Environ. Microbiol., 64: 4973-4982.

Furuya, K. and W. K.W. Li (1992) Evaluation of photosynthetic capacity in phytoplankton by flow cytometric analysis of DCMU-enhanced chlorophyll fluorescence. Mar. Ecol. Progr. Ser., 88: 279-287.

Gala WR and JP Giesy: Flow cytometric techniques to assess toxicity to algae. (13th Symposium aquatic tox. and risk ass. 1989) Am Soc Test Mat -Sp Techn Publ 1096, 237-246,1990.

Gala, W.R. and J.P. Giesy. 1994. Flow Cytometric Determination of the Photoinduced Toxicity of Anthracene to the Green Alga Selenastrum capricornutum. Environ. Tox. Chem. 13(5):831-840.

Gasol, J.M. and X.A.G. Morán. 1999. — Effects of filtration on bacterial activity and picoplankton community structure as assessed by flow cytometry. Aquatic Microbial Ecology, 16: 251-264.

Gasol, J.M., U.L. Zweifel, F. Peters, J.A. Fuhrman and Å. Hagström. 1999. — Significance of Size and Nucleic Acid content Heterogeneity as measured by Flow Cytometry in Natural Planktonic Bacteria . Appl. Environ. Microbiol., 65: 4475-4483

Gasol, J.M. and P.A. del Giorgio. 2000. Using flow cytometry for counting natural planktonic bacteria and understanding the structure of planktonic bacterial communities. Scientia Marina, in press

Gerath MW, Chisholm SW: Change in photosynthetic capacity over the cell cycle in light-dark-synchronized Amphidinium-carteri is due solely to the photocycle. Plant Physiol. (Bethesda) 91(3):999-1005,1989.

Gerritsen J. and RW. Sanders: Individual feeding variability of protozoan and crustacean zooplankton analyzed with flow cytometry. Limnology & Oceanography 32(3):691-699,1987. abstract dialog.

Gin, K.Y.H., S.W. Chisholm and R.J. Olson. 1999. — Seasonal and depth variation in microbial size spectra at the Bermuda Atlantic time series station. Deep-Sea Res. I, 46: 1221-1245

Guindulain, T., J. Comas and J. Vives-Rego. 1997. — Use of nucleic acid dyes SYTO-13, TOTO-1, and YOYO-1 in the study of Escherichia coli and marine prokaryotic populations by flow cytometry. Appl. Environ. Microbiol., 63: 4608-4611.

Hall, J.A. 1991. — Long-term preservation of picophytoplankton for counting by fluorescence microscopy. Br. Phycol. J., 26: 169-174.

Hansen, F.C., H.J. Witte & J. Passarge. 1996 Grazing in the heterotrophic dinoglagellate Oxyrrhis marina: size selectivity and preference for calcified Emiliania huxleyi. Aquat. Microb. Ecol. 10: 307 - 313

Haugen EM, Cucci TL, Yentsch CM and LP Shapiro: Effects of flow cytometric analysis on morphology and viability of fragile phytoplankton. Appl. Environ. Microbiol. 53(11):2677-2679,1987.

Haugland, R. P. 1994. — Spectra of fluorescent dyes used in flow cytometry. Meth. Cell Biol., 42: 641-663.

Haugland, R.P. 1999. — Handbook of fluorescent probes and research chemicals. Seventh Ed. Molecular Probes Inc.

Heldal, M., S. Norland, G. Bratbak and B. Riemann. 1994. — Determination of bacterial cell number and cell volume by means of flow cytometry, transmission electron microscopy, and epifluorescence microscopy. J. Microbiol. Methods, 20: 255-263.

Hess W.R., F. Partensky, G.W.M. van der Staay, J. Garcia-Fernandez, T. Boerner and D. Vaulot. 1996. — Coexistence of phycoerythrin and a chlorophyll a/b in a marine prokaryote. Proc. Natl. Acad. Sci. USA, 93: 11126-11130.

Hilton J, Rigg E, and G Jaworski: In vivo algal fluorescence, spectral change due to light intensity changes and the automatic characterization of algae. Freshwater biology 21:375-382,1989.

Hofstraat J.W, W.J.M. van Zeijl, J.C.H. Peeters, L. Peperzak and G.B.J. Dubelaar: Flow cytometry and other optical methods for characterization and quantification of phytoplankton in seawater. SPIE vol. 1269 Environment and pollution measurement sensors and systems, 116-132, 1990.

Hofstraat J.W., Vreeze de M.E.J., Zeijl van W.J.M., Peperzak L., Peeters J.C.H. and Balfoort H.W. Flow cytometric discrimination of phytoplankton classes by fluorescence and excitation properties, J. of fluorescence, 1, no. 4, 249-265, 1991

Hofstraat J.W., Zeijl van W.J.M., Vreeze de, M.E.J., Peeters J.C.H., Peperzak L., Colijn F. and Rademaker, T.W.M., Phytoplankton monitoring by flow cytometry, J. of Phytoplankton Res. vol 19., no.9, 1197-1224, 1994

Holligan PM. and WM. Balch: From the ocean to cells: coccolithophore optics and biochemistry. In: Particle analysis in oceanography (S. Demers Ed.). NATO ASI Series, G: Ecological Sciences, Vol. 27, 1991, Springer-Verlag Berlin Heidelberg.

Huisman, J. The struggle for light. Thesis, University of Amsterdam.

Hull HM, Hoshaw RW, and Wang J-C: Cytofluorometric determination of nuclear DNA in living and preserved algae. Stain Technology 57(5):273-282,1982.

Hutter, K.-J. and H.E. Eipel. 1978. Flow cytometric determinations of cellular substances in algae, bacteria, moulds and yeasts. Ant. van Leeuwenhoek, 44: 269-282.

HŸller, R., S. Schmidlechner, E. Glo§ner, S. Schaub and V. Kachel: A macro flow planktometer for analysis of large marine plankton organisms. Cytometry Supplement 5:53, 1991.

Ibrahim, P., A.S. Whiteley and M.R. Barer. 1997. — SYTO16 labelling and flow cytometry of Mycobacterium avium. Lett. Appl. Microbiol., 25: 437-441.

Ingram, M.L., T.J. Cleary, B.J. Price, R.L. Price and A. Castro. 1982. — Rapid detection of Legionella pneumophila by flow cytometry. Cytometry, 3: 134-137.

Jacobsen, C.N., J. Rasmussen and M. Jakobsen. 1997. — Viability staining and flow cytometric detection of Listeria monocytogenes. J. Microbiol. Methods., 28: 35-43.

Jacquet, S., J.-F. Lennon and D. Vaulot. 1998a. — Application of a compact automatic sea water sampler to high frequency picoplankton studies. Aquat. microb. Ecol., 14: 309-314.

Jacquet, S., J.-F. Lennon, D. Marie and D. Vaulot. 1998b. — Picoplankton population dynamics in coastal waters of the northwestern Mediterranean Sea. Limnol. Oceanogr., 43: 1916-1931.

Jellett, J.F., W.K.W. Li, P.M. Dickie, A. Boraie and P.E. Kepkay. 1996. — Metabolic activity of bacterioplankton communities assessed by flow cytometry and single carbon substrate utilization. Mar. Ecol. Prog. Ser., 136: 213-225.

Jepras, R.I., J. Carter, S.C. Pearson, F.E. Paul and M.J. Wilkinson. 1995. — Development of a robust flow cytometric assay for determining numbers of viable bacteria. Appl. Environ. Microbiol., 61: 2696-2701.

Jernaes, M.W. and H.B. Steen. 1994. — Staining of Escherichia coli for flow cytometry: Influx and efflux of ethidium bromide. Cytometry, 17: 302-309.

Jonker RR, Meulemans JTM, Dubelaar GBJ, M.F. Wilkins and Ringelberg J: Flow cytometry: a powerful tool in analysis of biomass distributions in phytoplankton. Water Science and Technology, 32,4, 177-182, 1995

Joux, F., P. Lebaron and M. Troussellier. 1997. — Succession of cellular states in a Salmonella typhimurium population during starvation in artificial seawater microcosms. FEMS Microb. Ecol., 22: 65-76.

Kaprelyants, A.S. and D.B. Kell. 1992. — Rapid assessment of bacterial viability and vitality by rhodamine 123 and flow cytometry. J. Appl. Bacteriol., 72: 410-422.

Kaprelyants, A.S. and D.B. Kell. 1993a. — The use of 5-cyano-2,3-ditolyl tetrazolium chloride and flow cytometry for the visualisation of respiratory activity in individual cells of Micrococcus luteus. J. Microbiol. Methods, 17: 115-122.

Kaprelyants, A.S. and D.B. Kell. 1993b. — Dormancy in stationary-phase cultures of Micrococcus luteus: flow cytometric analysis of starvation and resuscitation. Appl. Environ. Microbiol., 59: 3187-3196.

Karl, D.M., D.F. Bird, K. Bjorkman, T. Houlihan, R. Shackelford and L. Tupas. 1999. — Microorganisms in the accreted ice of Lake Vostok, Antarctica. Science, 286: 2144-2147

Kell D.B., H. M. Ryder, A.S. Kaprelyants and H.V. Westerhoff. 1991. — Quantifying heterogeneity: flow cytometry of bacterial cultures. Ant. van Leeuwenhoek., 60: 145-158.

Kepner, R.L. and J.R. Pratt. 1994. — Use of fluorochromes for direct enumeration of total bacteria in environmental samples: Past and present. Microbiological Rev., 58: 603-615.

Kerker, M., van Dilla, M.A., Brunsting, A., Kratohvil, J.P, Hsu, P., Wang, D.S., Gray, J.W. and Langlois, R.G. (1982). Is the central dogma of flow cytometry true: that fluorescence intensity is proportional to cellular dye content? Cytometry 3, 71-78.

Kim, Y., J.H. Jett, E.J. Larson, J.R. Penttila, B.L. Marrone and R. A. Keller. 1999. Bacterial fingerprinting by flow cytometry: Bacterial species discrimination. Cytometry, 36: 324-332

Knauber, D.C., Berry, E.S. and Fawley, M.W. (1996) Ribosomal RNA-based oligonucleotide probes to identify marine green ultraphytoplankton. J. Euk. Microbiol. 43(2):89-94.

Koch AL.: Estimation of size of bacteria by low-angle light scattering measurements: theory. Journal of Microbiological Methods 5:221-235,1986.

Koch, A.L., B.R. Robertson and D.K. Button. 1996. — Deduction of the cell volume and mass from forward scatter intensity of bacteria analyzed by flow cytometry. J. Microbiol. Methods., 27: 49-61.

Landry, M.L., J. Kirshten and J. Constantinou. 1996. — Abundance and distributions of picoplankton populations in the central equatorial Pacific from 12°N to 12°S, 140°W. Deep-Sea Res., 43: 871-890.

Lange, J.L., P.S. Thorne and N. Lynch. 1997. — Application of flo cytometry and fluorescent in situ hybridization for assessment of exposures to airborne bacteria. Appl. Environ. Microbiol., 63: 1557-1563.

Lange, M., Guillou, L., Vaulot, D., Simon, N., Amann, R., Ludwig, W., Medlin, L.K. Identification of the class Prymnesiophycae and the genus Phaeocystis with rRNA-targeted nucleic acid probes. Journal of Phycology 32: 858-868, 1996

Latimer, P. 1982. — Light Scattering and absorption as methods of studying cell population parameters. Ann. Rev. Biophys. Bioeng., 11: 129-150.

Lebaron, P. and F. Joux. 1994. — Flow cytometric analysis of the cellular DNA content of Salmonella typhimurium and Alteromonas haloplanktis during starvation and recovery in seawater. Appl. Environ. Microbiol., 60: 4345-4350.

Lebaron, P., N. Parthuisot and P. Catala. 1998. — Comparison of blue nucleic acid dyes for flow cytometric enumeration of bacteria in aquatic systems. Appl. Environ. Microbiol., 64: 1725-1730.

Lebaron, P., P. Servais, M. Troussellier, C. Courties, J. Vives-Rego, G. Muyzer, L. Bernard, T. Guindulain, H. Schäfer & E. Stackebrandt. 1999. Changes in bacterial community structure in seawater mesocosms differing in their nutrient status. Aquat. Microb. Ecol., 19: 255-267.

Lee J.J., Y. Chan, and A Lagziel (1988) In: Immunochemical approaches to coastal estuaries and oceanographic questions. pp.230-241. Springer verlag, Berlin

Lefort T.M., Bre M.H., Pouphile M. and Manigault P.: DNA flow cytometry of control Euglena and cell cycle blockade of vitamin B12-starved cells. Cytometry 8 (1), 46-54, 1987.

Legendre L. and J. Le Fevre: From individual plankton cells to pelagic marine ecosystems and to global biochemical cycles. In: Particle analysis in oceanography (S. Demers Ed.). NATO ASI Series, G: Ecological Sciences, Vol. 27, 1991, Springer-Verlag Berlin Heidelberg.

Legner M: Phytoplankton quantity assessment by means of flow cytometry. Marine Microbiol Food Webs 4(2):161-174,1990.

Lepesteur M., J.M. Martin and A. Fleury: Acomparative study of different preservation methods for phytoplankton cell analysis by flow cytometry. Marine Ecology Progress Series 93: 55-63, 1993

Lesser, P.M., S.E. Shumway, T.L. Cucci, J. Barter, and J. Edwards. 1991. Size specific selection of phytoplankton by juvenile filter-feeding bivalves: comparison of the sea scallop Placopectin magellanicus (Gmelin, 1791) with Mya arenaria Linneaus, 1758 and Mytilus edulis Linneaus,1758. In Scallop Biology and Culture, eds. S.E. Shumway and P.A. Sandifer, The World Aquaculture Society, the 7th International Pectinid Workshop, pp. 341-346.

Lewis MR. and JJ. Cullen: From cells to the ocean: sattelite ocean color. In: Particle analysis in oceanography (S. Demers Ed.). NATO ASI Series, G: Ecological Sciences, Vol. 27, 1991, Springer-Verlag Berlin Heidelberg.

Leyval, D., F. Debay, J.-M. Engasser and J.-L. Goergen. 1997. — Flow cytometry for the intracellular pH measurement of glutamate producing Corynebacterium glutamicum. J. Microbiol. Methods., 29: 121-127.

Li W.K.W. ICES mar. Sci Symp., 197: 79-91. 1993

Li WKW and AM Wood: Vertical distribution of northern atlantic ultraphytoplankton analysis by flow cytometry and epifluorescence microscopy. Deep-Sea Res. Part A Oceanogr. Res. Pap. 35(9):1615-1638,1988.

Li WKW.: Shipboard analytical flow cytometry of oceanic ultraphytoplankton. Cytometry 10(5):564-580, 1989.

Li WKW: Composition of ultraphytoplankton in the central North Atlantic. MEPS 122:1-8 (1995)

Li, W.K.W. 1994. — Primary production of prochlorophytes, cyanobacteria, and eucaryotic ultraphytoplankton: Measurements from flow cytometric sorting. Limnol. Oceanogr., 39: 169-175.

Li, W.K.W. 1997. — Cytometric diversity in marine ultraphytoplankton. Limnol. Oceanogr., 42: 874-880.

Li, W.K.W., J.F. Jellett and P.M. Dickie, P M. 1995. — DNA distributions in planktonic bacteria stained with TOTO or TO-PRO. Limnol. Oceanogr., 40: 1485-1495.

Li, W.K.W., P.M. Dickie, B.D. Irwin and A.M. Wood. 1992. — Biomass of bacteria, cyanobacteria, prochlorophytes and photosynthetic eukaryotes in the Sargasso Sea. Deep-Sea Res., 39: 501-519.

Li, WKW: Bivariate and trivariate analysis in flow cytometry: Phytoplankton size and fluorescence. Limnology and Oceanography 35, 1356-1367, 1990.

López-Amorós, R., D.J. Mason and D. Lloyd. 1995a. — Use of two oxonols and a fluorescent tetrazolium dye to monitor starvation of Escherichia coli in sewater by flow cytometry. J. Microbiol. Methods., 22: 165-176.

López-Amorós, R., J. Comas and J. Vives-Rego. 1995b. — Flow cytometric assessment of Escherichia coli and Salmonella typhimurium starvation-survival in seawater using Rhodamine 123, Propidium iodide, and oxonol. Appl. Environ. Microbiol., 61: 2521-2526.

López-Amorós, R., J. Comas, C. Carulla and J. Vives-Rego. 1994. — Variations in flow cytometric forward scatter signals and cell size in batch cultures of Escherichia coli. FEMS Microbiol. Letters., 117: 225-230.

López-Amorós, R., J. Comas, M.T. García and J. Vives-Rego. 1998. — Use of the 5-cyano-2,3-ditolyl tetrazolium chloride reduction test to assess respiring marine bacteria and grazing effects by flow cytometry during linear alkylbenzene sulfonate degradation. FEMS Microb. Ecol., 27: 33-42.

López-Amorós, R., S. Castel, J. Comas-Riu and J. Vives-Rego. 1997. — Assessment of E. coli and Salmonella viability and starvation by confocal laser microscopy and flow cytometry using Rhodamine 123, DiBAC4(3), Propidium Iodide, and CTC. Cytometry, 29: 298-305.

Lloyd, D. (ed.). 1993. Flow cytometry in Microbiology. Springer-Verlag, London.

Marie, D., C.P.D. Brussard, R. Thyrhaug, G. Bratbak and D. Vaulot. 1999. — Enumeration of marine viruses in culture and natural samples by flow cytometry. Appl. Environ. Microbiol., 65: 45-52.

Marie, D., F. Partensky and D. Vaulot. 1996. — Application of the novel DNA dyes YOYO-1, YOPRO-1 and Picogreen for flow cytometric analysis of marine prokaryotes. Appl. Environ. Microbiol., 62: 1649-1655.

Marie, D., F. Partensky, S. Jacquet and D. Vaulot. 1997. — Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl. Environ. Microbiol., 63: 186-193.

Marie, D., R. Casotti, N. Simon, F. Partensky and D. Vaulot. 1993. — Flow cytometric measurements of Prochlorococcus and bacteria cell concentration, cell scatter, pigment fluorescence and cell cycle. Prochlorophyte Workshop pp. 40-44.

Mason, D.J., R. López-Amorós, R. Allman, J.M. Stark and D. Lloyd. 1995. — The ability of membrane potential dyes and calcafluor white to distinguish between viable and non-viable bacteria. J. Appl. Bacteriol., 78: 309-315.

Massana, R., J. M. Gasol, P. K. Bjørnsen, N. Blackburn, Å Hagström, S. Hietanen, B. H. Hygum , J. Kuparinen and C. Pedrós-Alió. 1997. — Measurement of bacterial size via analysis of epifluorescence preparations: description of an inexpensive system and solutions to some of the most common problems. Sci. Mar., 61: 397-407.

McClelland, R.G. and A.C. Pinder. 1994. — Detection of low levels of specific Salmonella species by fluorescent antibodies and flow cytometry. J. Appl. Bacteriol., 77: 440-447.

McFeters, G.A., A. Singh, S. Byun, P.R. Callis and S. Williams. 1991. — Acridine orange staining reaction as an index of physiological activity in Escherichia coli. J. Microbiol. Methods., 13: 87-97.

McFeters, G.A., F.P. Yu, B.H. Pyle and P.S. Stewart. 1995. — Physiological assessment of bacteria using fluorochromes. J. Microbiol. Methods., 21: 1-13.

Miao, F., P. Todd and D.S. Kompala. 1993. — A single cell assay for ß-galactosidase in recombinant E. coli using flow cytometry. Biotechnol. Bioeng., 42: 708-715.

Miller, J.S. and J.M. Quarles. 1990. — Flow cytometric identification of microorganisms by dual staining with FITC and PI. Cytometry, 11: 667-675.

Monfort, P. and B. Baleux. 1992. — Comparison of flow cytometry and epifluorescence microscopy for counting bacteria in aquatic ecosystems. Cytometry, 13: 188-192.

Monfort, P. and B. Baleux. 1994. — Effects of environmental factors in the St. Lawrence Estuary (Quebec, Canada) on experimental survival of Salmonella salamae as determined by flow cytometry. Can. J. Microbiol., 40: 712-719.

Monfort, P. and B. Baleux. 1996. — Cell cycle characteristics and changes in membrane potential during growth of Escherichia coli as determined by a cyanine dye and flow cytometry. J. Microbiol. Meth., 25: 79-86.

Monger, B.C. and M.R. Landry. 1992. — Size-selective grazing by heterotrophic nanoflagellates: an analysis using live stained bacteria and dual beam flow cytometry. Arch. Hydrobiol. Beih., 37: 173-185.

Monger, B.C. and M.R. Landry. 1993. — Flow cytometric analysis of marine bacteria with Hoechst 33342. Mar. Ecol. Prog. Ser., 59: 905-911.

Moore, L.R., G. Rocap and S.W. Chisholm. 1998. — Physiology and molecular phylogeny of coexisting Prochlorococcus ecotypes. Nature, 393: 464-467.

Morel A. and L. Prieur: Analysis of variations in ocean color. Limnology and Oceanography 22:709-722, 1977.

Morel A.: Optics of marine particles and marine optics. In: Particle analysis in oceanography (S. Demers Ed.). NATO ASI Series, G: Ecological Sciences, Vol. 27, 1991, Springer-Verlag Berlin Heidelberg.

Mostajir, B., S. Demers, S. de Mora, C. Belzile, J.-P. Chanut, M. Gosselin, S. Roy, P. Zulema-Villegas, J. Fauchot, J. Bouchard, D. Bird, P. Montfort and M. Levasseur. 1999. — Experimental test of the effect of ultraviolet-B radiation in a planktonic community. Limnol. Oceanogr., 44: 586-596.

Navaluna NA, Perry MJ and MC Talbot: The effect of chemical fixation on some optical properties of phytoplankton. J Plankton Res. 11(1):15-24,1989.

Neale, P.J., J.J. Cullen, and C.M. Yentsch. 1989. Bio-optical inferences from chlorophyll a fluorescence: What kind of fluorescence is measured in flow cytometry? Limnol. Oceanogr. 34: 1739-1748.

Nebe-Von Caron, G. and R. A. Badley. 1995. —Viability assessment of bacteria in mixed populations using flow cytometry. J. Micros., 179: 55-66.

Nebe-von Caron, G., P. Stephens and R. A. badley. 1998. — Assessment of bacterial viability status by flow cytometry and single cell sorting. J. Appl. Microbiol., 84: 988-998.

Nir, R., Y. Yisraeli, R. Lamed and E, Sahar. 1990. — Flow cytometry sorting of viable bacteria and yeasts according to ß-galactosidase activity. Appl. Environ. Microbiol., 56: 3861-3866.

Nishimura, M., K. Kogure, K. Kita-Tsukamoto and K. Ohwada. 1995. — Detection and direct count of specific bacteria in natural seawater using 16S rRNA oligonucleotide probe. Bull. Jap. Soc. Mic. Ecol., 10: 109-113.

Novo, D., N. G. Perlmutter, R. H. Hunt and H.M. Shapiro. 1999. — Accurate flow cytometric membrane potential measurement in bacteria using diethyloxacarbocyanine and a radiometric technique. Cytometry, 35: 55-63.

Olson R.J., and E.R. Zettler: Potential of flow cytometry for "pump and probe" fluorescence measurements of phytoplankton photosynthetic characteristics, Limnology and Oceanography 40, 4, 816-820, 1995

Olson RJ., Zettler ER. and OK. Anderson: Discrimination of eukaryotic phytoplankton cell types from light scatter and autofluorescence properties measured by flow cytometry. Cytometry 10(5):636-644,1989.

Olson, R.J. and S.W. Chisholm. Effects of light and nitrogen limitation on the cell cycle of the dinoflagellate Amphidinium carteri. J. Plank. Res., 8(4):785-793. 1986

Olson, R.J., D. Vaulot and S.W. Chisholm. Effects of environmental stresses on the cell cycle of two marine phytoplankton species. Plant Physiol., 80:918-925. 1986

Olson, R.J., D. Vaulot and S.W. Chisholm. Marine phytoplankton distributions measured using shipboard flow cytometry. Deep-Sea Res., 10:1273-1280. 1985

Olson, R.J., E.R. Zettler, S.W. Chisholm and J.A. Dusenberry. Advances In Oceanography Through Flow Cytometry. In S. Demers & M. Lewis (eds.) Particle Analysis in Oceanography, Springer-Verlag Heidelberg Berlin, 351-399. 1991

Olson, R.J., S.L. Frankel, S.W. Chisholm and H.M. Shapiro. An inexpensive flow cytometer for the analysis of fluorescence signals in phytoplankton: Chlorophyll and DNA distributions. J. Exp. Mar. Biol. Ecol., 68:129-144. 1983

Olson, R.J., S.W. Chisholm, E.R. Zettler, and E.V. Armbrust. Pigments, size, and distribution of Synechococcus in the North Atlantic and Pacific Oceans. Limnol. Oceanogr. 35(1):45-58. 1990

Olson, R.J., S.W. Chisholm, E.R. Zettler, M.A. Altabet and J.A. Dusenberry. 1990. — Spatial and temporal distributions of prochlorophyte picoplankton in the North Atlantic Ocean. Deep Sea Res., 37:1033-1051.

Orellana M.V., M.J. Perry and B.A. Watson. (1988) In: Immunochemical approaches to coastal estuaries and oceanographic questions. pp.243-262. Springer verlag, Berlin

Ormerod, M.G. 1994. Flow Cytometry: A practical approach. IRL Press, Oxford.

Owens TG.: Energy transformation and fluorescence in photosynthesis. In: Particle analysis in oceanography (S. Demers Ed.). NATO ASI Series, G: Ecological Sciences, Vol. 27, 1991, Springer-Verlag Berlin Heidelberg.

Paau AS. Cowles JA, Oro J, Bartel A. and Hungerford E.: Separation of algal mixtures and bacterial mixtures with flow-microfluorometer using chlorophyll and ethidium bromide fluorescence. Archives of Microbiology 120:271-273,1979.

Paau AS., Oro J. and JR. Cowles: Application of microfluorometry to the study of algal cells and isolated chloroplasts. J. Exp. Bot. 29:1011-1020,1978.

Paau, A.S., J.R. Cowles and J. Oro. 1977. — Flow-microfluorometric analysis of Escherichia coli, Rhizobium meliloti, and Rhizobium japonicum at different stages of the growth cycle. Can. J. Microbiol., 23: 1165-1169.

Paau, A.S., J.R. Cowles, J. Oro, A. Bartel and E. Hungerford. 1979. — Separation of algal mixtures and bacterial mixtures with flow-microflorometer using chlorophyll and ethidium bromide fluorescence. Arch. Microbiol., 120: 217-273.

Pan, Y. and A. D. Cembella, 1996. Comparison of the three Green-Fluorescing NDA stains in flow cytometric studies of growth rates and cell cycles of dinoflagellates and diatoms. Can. Tech. Rep. Fish. Aquat. Sci. 2138: 150 - 152.

Pan, Y. and A. D. Cembella. 1998. Flow cytometric determination of cell cycles and growth rates of Prorocentrum spp. In: Proceedings of VIII Internation Conference on Harmful Algae, Vigo, Spain, June 24-29, 1997. (in press).

Parpais J., Marie D., Partensky F., Morin P. and Vaulot D. Effect of phosphorus starvation on the cell cycle of the photosynthetic prokaryote Prochlorococcus. Marine Ecology Progress Series 1996 132: 265-274. 1996

Partensky, F., J. Blanchot, F. Lantoine, J. Neveux and D. Marie. 1996. — Vertical structure of picophytoplankton at different trophic sites of the tropical northeastern Atlantic Ocean. Deep-Sea Res., 43: 1191-1213.

Peeters, J.C.H., Dubelaar, G.BJ., Ringelberg, J. and Visser, J.W.M. (1989). The optical plankton analyser (OPA): a flow cytometer for plankton analysis, I: Design considerations. Cytometry 10, 522-528.

Peperzak L., Sandee B., Jonker, R.R., Legrand C. 1997: Measurement of Prorocentrum micans growth rate by flow cytometric analysis of the dial DNA cycle. In Harmful Algae, B. Reguera, J. Blanco, M.L. Fernandez and T. Wyatt (eds). In press.

Perry MJ. and SM. Porter: Determination of the cross-section absorption coefficient of individual phytoplankton cells by analytical flow cytometry. Limnology & Oceanography xx

Peters, D C. 1979. — A comparison of mercury arc lamp and laser illumination for flow cytometry. J. Histochem. Cytochem., 27: 241-245.

Peters, F., C. Marrasé, J.M. Gasol, M.M. Sala and L. Arin. 1998. — Food-web mediated effects of turbulence on bacterial production and growth. Mar. Ecol. Progr. Ser., 172: 293-303.

Petit, J.-M., M. Denis-Gay, M.-H. Ratinaud. 1993. — Assessment of fluorochromes for cellular structure and function studies by flow cytometry. Biol. Cell., 78: 1-13.

Philips, A.P. and K.L. Martin. 1983. — Immunofluorescence analysis of Bacillus spores and vegetative cells by flow cytometry. Cytometry, 4: 123-131.

Pile, A.J. 1997. — Finding Reswig’s missing carbon: Quantification of sponge feeding using dual beam flow cytometry. Proc. 8th Coral Reef Symp., 2: 1403-1410.

Pile, A.J., M.R. Patterson and J.D. Witman. 1996. — In situ grazing on plankton < 10 µm by the boreal sponge Mycale lingua. Mar. Ecol. Progr. Ser., 141: 95-102.

Pinder, A.C., P.W. Purdy, S.A.G. Poulter and D.C. Clark. 1990. — Validation of flow cytometry for rapid enumeration of bacterial concentrations in pure cultures. J. Appl. Bacteriol., 69: 92-100.

Pomponi, S.A. and T.L. Cucci. 1989. Separation and concentration of phytoplankton populations using centrifugal elutriation. Cytometry 10: 580-586.

Porter, J., C. Edwards, J.A.W. Morgan, R.W. Pickup. 1993. — Rapid, automated separation of specific bacteria from lake water and sewage by flow cytometry and cell sorting. Appl. Environ. Microbiol., 59: 3327-3333.

Porter, J., D. Deere, M. Hardman, C. Edwards and R. Pickup. 1997. — Go with the flow - use of flow cytometry in environmental microbiology. FEMS Microb. Ecol., 24: 93-101.

Porter, J., D. Deere, R. Pickup and C. Edwards. 1996. — Fluorescent probes and flow cytometry: new insights into environmental bacteriology. Cytometry, 23: 91-96.

Porter, J., J. Diaper, C. Edwards and R. Pickup. 1995a. — Direct measurements of natural planktonic bacterial community viability by flow cytometry. Appl. Environ. Microbiol., 61: 2783-2786.

Porter, J., J. Robinson, R. Pickup and C. Edwards. 1995b. — Recovery of a bacterial population from sewage using immunofluorescent flow cytometry and cell sorting. FEMS Microb. Lett., 133: 195-199.

Porter, J., R. Pickup and C. Edwards. 1995c. — Flow cytometric detection of specific genes in genetically modified bacteria using in situ polymerase chain reaction. FEMS Microb. Lett., 134: 51-56.

Porter, J., Robinson, J, R Pickup and C Edwards. 1998. — An evaluation of lectin-mediated magnetic bead cell sorting for the targeted separation of enteric bacteria. J. Appl. Bacteriol., 84: 722-732.

Prairie Y.T., P.A. del Giorgio, D.F. Bird and J.M. Gasol. (submitted). — The flow cytometric determination of bacterioplankton mean cell size and size distribution. Microb. Ecol.,

Premazzi G., F. Bertona, S. Binda, G. Bowe and E. Rodari: Application of innovative methods for phytoplankton analysis. EUR 14806, European Communities - JRC, 1992

Premazzi, G., G. Buonaccorsi and P. Zilio: Flow cytometry for algal studies. Water Research 23:431-442, 1989.

Reckermann, M. & M.J.W. Veldhuis 1997 Trophic interactions between picophytoplankton and micro- and nanozooplankton in the western Arabian Sea during the NE monsoon 1993. Aquat. Microb. Ecol. 12 (3): 263 - 273.

Reynolds, D.T. and C.R. Fricker. 1999. — Application of laser scanning for the rapid and automated detection of bacteria in water samples. J. Appl. Microbiol., 86: 785-795.

Ribes, M., R. Coma and J.-M. Gili. 1998a. — Seasonal variation of in situ feeding rates by the temperate ascidian Halocynthia papillosa. Mar. Ecol. Prog. Ser., 175: 201-213.

Ribes, M., R. Coma and J.-M. Gili. 1998b. — Heterotrophic feeding by gorgonian corals with symbiotic zooxanthella. Limnol. Oceanogr., 43: 1170-1179.

Ribes, M., R. Coma and J.-M. Gili. 1999a. — Natural diet and grazing rate of the temperate sponge Dysidea avara (Demospongiae, Dendroceratida) throughout an annual cycle. Mar. Ecol. Prog. Ser., 176: 179-190.

Ribes, M., R. Coma and J.-M. Gili. 1999b. — Seasonal variation of particulate organic arbon, dissolved organic carbon and the contribution of microbial communities to the live particular carbon in a shallow near-bottom ecosystem at the Northwestern Mediterranean Sea. J. Plank. Res., 21: 1077-1100.

Rice, J., M.A. Sleigh, P.H. Burkill, G.A. Tarran, C.D. O'Connor and M. Zubkov. 1997. — Flow cytometric analysis of characteristics of hybridization of species-specific fluorescent oligonucleotide probes to rRNA of marine nanoflagellates. Appl. Environ. Microbiol., 63: 938-944.

Rivkin, R.B., D.A. Phinney and C.M. Yentsch. 1986. — Effects of flow cytometric analysis and cell sorting on photosynthetic carbon uptake by phytoplankton in cultures and from natural populations. Appl. Environ. Microbiol., 52: 935-938.

Robertson B.R. and D.K. Button. 1989. — Characterizing aquatic bacteria according to population, cell size and apparent DNA content by flow cytometry. Cytometry, 10: 70-76.

Robertson, B.R., D.K. Button and A.L. Koch. 1998. — Determination of the biomasses of small bacteria at low concentrations in a mixture of species with forward light scatter measurements by flow cytometry. Appl. Environ. Microbiol., 64: 3900-3909.

Rodriguez, J. and W.K.W. Li (1994). The size structure and metabolism of the pelagic ecosystem. Scientia Marine 57: (1-2). 167 pp.

Roth, B.L., M. Poot, S.T. Yue and P.J. Millard. 1997. — Bacterial viability and antibiotic susceptibility testing with SYTOX green nucleic acid stain. Appl. Environ. Microbiol., 63: 2421-2431.

SchSfer,H.; Bruckmeyer,B.; Steinberg, C. and Beisker, W.: Three-laser flow cytometry for simultaneous measurement of photosynthesis pigments and protein content of phytoplankton populations in lakes and rivers. Proceedings of the DGZ Heidelberg Meetings, DKFZ, Heidelberg 1996, ISSN 0949 - 5347

Sellner, K.G., S.E. Shumway, M.W. Luckenbach, and T.L. Cucci. 1994. The effects of dinoflagellate blooms on the oyster Crassostrea virginica in Chesapeake Bay. In: Proceedings of the 6th International Conference on Toxic Marine Phytoplankton; Lassus, P. (ed)

Servais, P., C. Courties, P. Lebaron and M. Trousssellier. 1999. — Coupling bacterial activity measurements with cell sorting by flow cytometry. Microb. Ecol., 38:180-189.

Shalapyonok, A., R.J. Olson and L.S. Shalapyonok. 1998. —Ultradian growth in Prochlorococcus spp. Appl. Environ. Microbiol., 64: 1066-1069.

Shapiro LP, Campbell L, and EM Haugen: Immunochemical recognition of phytoplankton species. Mar Ecol Prog Ser 57:219-224,1989.

Shapiro, H.M. 1995. Practical flow cytometry. Third Edition. Wiley-Liss

Shapiro, L. P., L. Campbell, and E. M. Haugen, Immunochemical recognition of phytoplankton species, Mar. Ecol. Prog. Ser., 57, 219-224, 1989.

Sherr, B.F., P. A. del Giorgio and E. B. Sherr. 1999. — Estimating the abundance and single-cell characteristics of respiring bacteria via the redox dye, CTC. Aquat. Microb. Ecol., 18: 117-131.

Shimada, A., M. Nishijima and T. Maruyama (1995) Seasonal appearance of Prochlorococcus in Suruga Bay, Japan in 1992-1993. J. Oceanogr., 51: 291-302

Shimada, A., T. Hasegawa, I. Umeda, N. Kadoya and T. Maruyama (1993) Spatial mesoscale patternw of West Pacific picophytoplankton as analyzed by flow cytometry: their contribution to subsurface chlorophyll maxima. Mar. Biol., 115: 209-215.

Shumway, S.E., T.L. Cucci, R.C. Newell and C.M. Yentsch. 1985. Particle selection, ingstion and absorption in filter-feeding bivalves. J. Exp. Mar. Biol. Ecol., 91: 77-92.

Sieracki, M.E. and C.L. Viles. 1992. — Distributions and fluorochrome-staining properties of sub-micrometer particles and bacteria in the North Atlantic. Deep-Sea Res., 39: 1919-1929.

Sieracki, M.E., E.M. Haugen and T.L. Cucci. 1995. — Overestimation of heterotrophic bacteria in the Sargasso Sea: direct evidence by flow and imaging cytometry. Deep-Sea Res., 42: 1399-1409.

Sieracki, M.E., T.L. Cucci and J. Nicinski. 1999. — Flow cytometric analysis of CTC-activity of marine bacterioplankton in dilution cultures. Appl. Environ. Microbiol., 65: 2409-2417.

Simon N., Le Bot N., Marie D., Partensky F., Vaulot D. Fluorescent in situ hybridization with rRNA-targeted probes for identifying small phytoplankton by flow cytometry. Applied Environmental Microbiology 61: 2506-2513. 1995

Simon, N., Barlow, R. G., Marie, D., Partensky, F., Vaulot, D. Flow cytometric analysis of oceanic photosynthetic picoeucaryotes. Journal of Phycology 30: 922-935. 1994

Simon, N., N. LeBot, D. Marie, F. Partensky and D. Vaulot. 1995. — Fluorescent in situ hybridization with rRNA-targeted oligonucleotide probes to identify small phytoplankton by flow cytometry. Appl. Environ. Microbiol., 61: 2506-2513.

Smits, J.R.M., Breedveld, L.W., Derksen, M.W.J., Kateman, G., Balfoort, H.W., Snoek, J., Hofstraat, J.W. (1992) Patten classification with artificial neural networks: classification of algae, based upon flow cytometer data. Analytica Chimica Acta, 258, 11-25.

SooHoo BJ., Kiefer DA., Collins DJ. and IS. McDermid: In vivo fluorescence excitation and absorption spectra of marine phytoplankton: I. Taxonomic characteristics and responses to photoadaptation. Journal of Plankton Research 8(1): 197-214, 1986.

Sosik, H.M., S.W. Chisholm and R.J. Olson. Chlorophyll fluorescence from single cells: Interpretation of flow cytometric signals. Limnol. Oceanogr. (Special Ocean Optics Issue) 34:1749-1761. 1989

Spinrad RW and JF Brown: Relative real refractive index of marine microorganisms: a technique for flow cytometric estimation. Applied Optics 25(12):1930-1934,1986.

Spinrad RW: Flow cytometric analysis of the optical characteristics of marine particles. SPIE-Ocean Optics VII Vol.489:335-342,1984.

Srienc, F., B. Arnold and J.E. Bailey. 1984. — Characterization of intracellular accumulation of Poly-ß-hydroxybutyrate (PHB) in individual cells of Alcaligenes eutrophus H16 by flow cytometry. Biotechnol. Bioeng., 26: 982-987.

Steen, H.B. 1990. —Flow cytometric studies of microorganisms. In: Melamed, M.R., T. Lindmo and M.L. Mendelsohn (eds.). Flow cytometry and sorting. 2nd. pp. 605-622. Ed. Wiley-Liss Inc., NY

Steen, H.B. and E. Boye. 1981. —Escherichia coli growth studied by dual-parameter flow cytophotometry. J. Bacteriol., 145: 1091-1094.

Steen, H.B. and T. Lindmo. 1979. —Flow cytometry: A high-resolution instrument for everyone. Science, 204: 403-404.

Steen, H.B. et al. 1982. Applicationsof flow cytometry on bacteria: cell cycle kinetics, drug effects and quantitation of antibody binding. Cytometry 2, 249-257.

Steen, H.B., E. Boye, K. Skarstad, B. Bloom, T. Godal and S. Mustafa. 1982. — Applications of flow cytometry on bacteria: cell cycle kinetics, drug effects, and quantification of antibody binding. Cytometry, 2: 249-257.

Steen, H.B., K. Skarstad and E. Boye. 1986. — Flow cytometry of bacteria: Cell cycle kinetics and effects of antibiotics. Ann. N.Y. Acad. Sci., 468: 357-370.

Steen, H.B., K. Skarstad and E. Boye. 1990. — DNA measurements of bacteria. Meth. Cell Biol., 33: 519-526.

Steen, H.B., M.W. Jernaes, K. Skarstad and E. Boye. 1994. — Staining and measurement of DNA in bacteria. Meth. Cell Biol., 42: 477-487.

Subba Rao, D.V., F. Partensky, G. Wohlgeschaffen, and W.K.W. Li. 1991. Flow cytometry and microscopy of gametogenesis in Nitzschia pungens, a toxic, bloom-forming, marine diatom. J. Phycol. 27: 21-26.

Tarran, G.A, & Burkill, P.H. & Edwards, E.S. Phytoplankton community structure in the Arabian Sea during and after the SW Monsoon, 1994 Deep-Sea Research II (In Press).

Tarran, G.A, & Burkill, P.H. (1993). Flow Cytometry at Sea. In: Flow Cytometry in Microbiology. Ed: D A Lloyd. Springer-Verlag, London. pp 143- 158

Thom, S M, Horobin, R W, Seidler, E, Barer, M R. 1993. Factors affecting the selection and use of tetrazolium salts as cytochemical indicators of microbial viability and activity. J. Appl. Bacteriol. 74: 433-443

Thorsen, B.K., Ø. Enger, S. Norland and K.A. Hoff. 1992. —Long-term starvation survival of Yersinia ruckeri at different salinites studied by microscopical and flow cytometric methods. Appl. Environ. Microbiol., 58: 1624-1628.

Trask BJ, Engh GJ van den, and Elgershuizen JHBW: Analysis of phytoplankton by flow cytometry. Cytometry 2:258-264, 1982.

Troussellier M., Bouvy M., Courties C., Dupuy C. 1997. Variation of carbon content among bacterial species under starvation condition. Aquatatic Microbial Ecolology. 13: 113-119.

Troussellier M., C. Courties, P. Lebaron and P. Servais. 1999. — Flow cytometric discrimination of bacterial populations in seawater based on SYTO 13 staining of nucleic acids. FEMS Microbiol. Ecol., 29: 319-330.

Troussellier M., Courties C. & Zettelmaier S. 1995. Flow cytometric analysis of coastal lagoon bacterioplankton and picophytoplankton : Fixation and storage effects. Estuarine, Coastal and shelf Science 40: 621-633.

Troussellier, M., C. Courties and A. Vaquer. 1993. — Recent applications of flow cytometry in aquatic microbial ecology. Biol. Cell., 78: 111-121.

Troussellier, M., C. Courties and S. Zettelmaier. 1995. — Flow cytometric analysis of coastal lagoon bacterioplankton and picophytoplankton : Fixation and storage effects. Est. Coast. Shelf Sci., 40: 621-633.

Turner, J.T., J. A. Lincoln and A. D. Cembella, 1998 Effects of toxic and non-toxic dinoflagellates on copepod grazin egg production and egg hatching success. In: Proceedings of VIII Internation Conference on Harmful Algae, Vigo, Spain, June 24-29, 1997. (in press).

Tyndall, R.L., R.E. Hand, R.C. Mann, C. Evans and R. Jernigan. 1985. — Application of flow cytometry to detection and characterization of Legionella spp. Appl. Environ. Microbiol., 49: 852-857.

Ullrich, S., B. Karrasch, H. -G. Hoppe, K. Jeskulke and M. Mehrens. 1996. — Toxic effects on bacterial metabolism of the redox dye 5-cyano-2,3-ditolyl tetrazolium chloride. Appl. Environ. Microbiol., 62:4587-4593.

Urbach, E. and S.W. Chisholm. 1998. —Genetic diversity in Prochlorococcus populations flow cytometrically sorted from the Sargasso Sea and Gulf Stream. Limnol. Oceanogr., 43: 1615-1630.

Van Bleijswijk J.D.L. , E.S. Kempers, M.J. Veldhuis, P. Westbroek, Cell and growth characteristics of types A and B of Emiliania huxleyi (Prymnesiophyceae) as determined by flow cytometry and chemical analysis. Journal of Phycology 30 (1994) 230-241

van Dilla, M.A., R.G. Langlois, D. Pinkel, D. Yajko and W.K. Hadley. 1983. — Bacterial characterization by flow cytometer. Science, 220: 620-622.

VanBleijswijk, J. D. L., & M.J.W. Veldhuis (1995). "In situ gross growth rates of Emiliania huxleyi in enclosures with different phosphate loading revealed by diel changes in DNA content." Mar. Ecol. Prog. Ser. 121: 271 - 277.

Vaquer A., Troussellier M., Courties C., Bibent B. 1996. Standing stock and dynamics of picophytoplankton in the Thau lagoon (northwest Mediterranean coast). Limnology & Oceanography 41: 1821-1828.

Vaulot D, Partensky F, Neveux J, Mantoura FFC and CA Llewellyn: Winter presence of prochlorophytes in surface waters of the northwestern Mediterranean Sea. Limnology and Oceanography 35(5):1156-1164,1990.

Vaulot D., Courties C. and F. Partensky: A simple method to preserve oceanic phytoplankton for flow cytometric analyses. Cytometry 10(5):629-636,1989.

Vaulot, D, D. Marie, R.J. Olson & S.W. Chisholm. Growth of Prochlorococcus, a Photosynthetic Prokaryote, in the Equatorial Pacific Ocean. Science 268:1480-1482. 1995

Vaulot, D., C. Courties and F. Partensky. 1989. —A simple method to preserve oceanic phytoplankton for flow cytometric analyses. Cytometry, 10: 629-636.

Vaulot, D., D. Marie, R.J. Olson and S.W. Chisholm. 1995. —Growth of Prochlorococcus, a photosynthetic prokaryote, in the Equatorial Pacific Ocean. Science, 268: 1480-1482.

Vaulot, D., R.J. Olson and S.W. Chisholm. Light and dark control of the cell cycle in two marine phytoplankton species. Exp. Cell Res., 167:38-52. 1986

Vaulot, D., R.J. Olson, S. Merkel and S.W. Chisholm. Cell cycle response to nutrient starvation in two phytoplankton species, Thalassiosira weissflogii and Hymenomonas carterae. Mar. Biol. 95:625-630. 1987

Vazquez-Dominguez, E., F. Peters, J.M. Gasol and D. Vaqué. 1999. — Measuring the grazing losses of picoplankton: Methodological improvements to the use of fluorescently labeled tracers combined to flow cytometry. Aquat. Microb. Ecol., 20: 119-128.

Veldhuis M.J.W., Kraaij G.W. 1993. Cell abundance and fluorescence of picophytoplankton in relation to growth irradiance and nitrogen availability in the Red Sea. Neth. J. Sea Res. 21: 135-45.

Veldhuis M.J.W., Kraaij G.W., VanBleijswijk J.D.L., Baars M.A. 1997. Seasonal and spatial variability in phytoplankton biomass, productivity and growth in the north-western Indian Ocean (the SW- and NE-monsoon, 1992-1993). Deep-Sea Res. 44: 425-449.

Veldhuis M.J.W., T.L. Cucci and M.E. Sieracki. 1997. — Cellular DNA content of marine phytoplankton using two new fluorochromes: taxonomic and ecological implications. J. Phycol., 33: 527-541.

Veldhuis MJW and GW Kraay: Vertical distribution and pigment composition of a picoplanktonic prochlorophyte in the subtropical North Atlantic: a combined study of HPLC-analysis and flow cytometry. Mar. Ecol. Prog. Series 68(1-2),121-127,1990.

Vesey G.P. et al., 1994. Detection of specific microorganisms in environmental samples using flow cytometry. Meth. Cell Biol. 42, 489-522.

Vesey, et al. 1996. Assessing Cryptosporidium parvum oocyst viability with fluorescent in situ hybridization using ribosomal RNA probes and flow cytometry, p. 131-8. In: E.Bets et al. (ed), Protozoan parasites in water. Royal Society for Chemistry, Cambridge, UK.

Vesey, G., J. Narai, N. Ashbolt, K. Williams and D. Veal. 1994. —Detection of specific microorganisms in environmental samples using flow cytometry. Meth. Cell Biol., 42: 489-522.

Visser JWM., Haaijman J. and BJ. Trask: Quantitative immunofluorescence in flow cytometry. In: Immunofluorescence and Related Staining Techniques. W. Knapp, K. Holubar and G. Wick: eds. Elsevier/North-Holland Biomedical Press, Amsterdam 1978.

Vives-Rego, J., R. López-Amorós and J. Comas. 1994. — Flow cytometric narrow-angle light scatter and cell size during starvation of Escherichia coli in artificial sea water. Letters Appl. Microbiol., 19: 374-376.

Vives-Rego, J., T. Guindulain, E. Vazquez-Dominguez, J.M. Gasol, R. López-Amorós, D. Vaqué and J. Comas. 1999. — Assessment of the effects of nutrients and pollutants on coastal bacterioplankton by flow cytometry and SYTO-13 staining. Microbios, 98: 71-85.

Vrieling E.G. and M. Anderson: Immunofluorescence in phytoplankton research: applications and potential. J. Phycol. 32, 1-16, 1996

Vrieling, E.G., W.W.C. Gieskes, T.W.M. Rademaker, G. Vriezekolk, L. Peperzak and M. Veenhuis. Flow cytometric identification of the ichthyotoxic dinoflagellate Gyrodinium aureolum in the central North Sea. In: Lassus, P., G. Arzul, E. Erard, P. Gentien and C. Marcaillou [eds.]. Harmful Marine Algal Blooms. Lavoisier Sci. Publ. Paris, France. (1995) pp 743-748.

Wallberg, M., P.Gaustad and H.B.Steen. 1998. Rapid preparation procedure for staining of exponentially growing P. vulgaris cells with ethidium bromide: a flow cytometry-based study of probe uptake under various conditions. J. Microbiol., Meth. 34: 49-58.

Wallner, G., B. Fuchs, S. Spring, W. Beisker and R. Amann. 1997. —Flow sorting of microorganisms for molecular analysis. Appl. Environ. Microbiol., 63: 4223-4231.

Wallner, G., R. Amann and W. Beisker. 1993. — Optimizing fluorescent in situ hybridization with rRNA-targeted oligonucleotide probes for flow cytometric identification of microorganisms. Cytometry, 14: 136-143.

Wallner, G., R. Erhart and R. Amann. 1995. —Flow cytometric analysis of activated sludge with rRNA-targeted probes. Appl. Environ. Microbiol., 61: 1859-1866.

Ward BB. and Perry MJ: Immunofluorescent assay for the marine ammonium-oxidizing bacterium Nitrosococcus oceanus. Applied and Environmental Microbiology 39(4):913-918,1980.

Wiebenga, C, M.J.W. Veldhuis & H.J.W. de Baar 1997 Abundance and productivity of bacterioplankton in relation to seasonal upwelling in the northwest Indian Ocean. Deep-Sea Res. 44: 451-476

Wietzorrek J., M. Stadler and V. Kachel : Flow Cytometric Imaging, implemented on the EurOPA flow cytometer - a novel tool for identification of marine organisms. Proceedings OCEANS Ô94 OSATES, Vol. I, p. 688-693, 1994

Wilkins M.F., Morris C.W., Boddy, L., A comparison of radial basis function and backpropagation neural networks for identification of marine phytoplankton from multivariate flow cytometry data, Cabios, 10, no. 3, 285-294, 1994

Wilkins, MF, Boddy, L, Morris, CW & Jonker, R (1996) A comparison of some neural and non-neural methods for identification of phytoplankton from flow cytometry data. CABIOS 12 (1), 9-19.

Williams, S.C., Y. Hong, D.C.A. Danavall, M.H. Howard-Jones, D. Gibson, M.E. Frischer and P.G. Verity. 1998. —Distinguishing between living and nonliving bacteria: Evaluation of the vital stain propidium iodide and its combined use with molecular probes in aquatic samples. J. Microbiol. Meth., 32: 225-236.

Wittrup, K.D., M.B. Mann, D.M. Fenton, L.B. Tsai and J.E. Bailey. 1988. — Single cell light scatter as a probe of refractile body formation in recombinant Escherichia coli. Bio/Technol., 6: 423-426.

Wood AM, Horan PK, Muirhead K, Phinney DA, Yentsch CM and JB Waterbury: Discrimination between types of pigments in marine Synechococcus spp. by scanning spectroscopy, epifluorescence microscopy and flow cytometry. Limnology & Oceanography 30(6):1303-1315,1985.

Worden, A. Z., S. W. Chisholm and B. J. Binder. 2000. — In situ hybridization of Prochlorococcus and Synechococcus (marine cyanobacteria) spp. with rRNA-targeted peptide nucleic acid probes. Appl. Environ. Microbiol., 66: 284-289.

Xu C., Auger J. and Govindjee: Chlorophyll a fluorescence measurements of isolated spinach thylakoids obtained by using single-laser-based flow cytometry. Cytometry 11(3):349-358,1990.

Yamaguchi, N. and M. Nasu. 1997. — Flow cytometric analysis of bacterial respiratory and enzimatic activity in the natural aquatic environment. J. Appl. Microbiol., 83: 43-52.

Yee MC and Bartholomew JC: Light regulation of the cell cycle in Euglena gracilis bacillaris. Cytometry 9 (4), 387-93, 1988.

Yentsch C.M. and S.A. Pomponi: Automated individual cell analysis in aquatic research. Int. Rev. Cytol. 105: 183-243, 1986.

Yentsch CM, Mague FC, Horan PK and K Muirhead: Flow cytometric DNA determinations on individual cells of the dinoflagellate Gonyaulax-tamarensis-var-excavata. J. Exp. Mar. Biol. Ecol. 67(2):175-184,1983.

Yentsch CM. and PK. Horan (eds.): Cytometry in aquatic sciences. Special issue of Cytometry. Cytometry 10 (5), 1989.

Yentsch CM.: Environmental Health: flow cytometric methods to assess our water world. In: Darzynkiewicz Z. and HA. Crissman eds. Methods in cell biology, volume 33: Flow cytometry. Academic Press, 1990.

Yentsch CM: Flow cytometric analysis of cellular saxitoxin in the dinoflagellate Gonyaulax-tamarensis-var-excavata. Toxicon 19(5):611-622,1981.

Yentsch CS, and CM. Yentsch: Fluorescence spectral signatures: the characterization of phytoplankton populations by the use of excitation and emission spectra, J. Mar. Res.37:471-483,1979.

Yentsch, C.M., F.C. Mague and P.K. Horan (eds.), Immunochemical approaches to coastal, estuarine and oceanographic questions. Springer-Verlag, New York, pp. 184-193, 1988

Yentsch, C.M., P.K. Horan, K. Muirhead, Q. Dortch, E. Haugen, L. Legendre, L. S. Murphy, M.J. Perry, D.A. Phinney, S.A. Pomponi, R.W. Spinrad, M. Wood, C.S. Yentsch and B. J. Zahuranec. 1983. — Flow cytometry and cell sorting: A technique for analysis and sorting of aquatic particles. Limnol. Oceanogr., 28: 1275-1280.

Zettler, E.R., R.J. Olson, B.J. Binder, S. W. Chisholm, S.E. Fitzwater & R. M. Gordon. Iron-enrichment bottle experiments in the equatorial Pacific: Responses of individual phytoplankton cells. Deep Sea Res. II, 43(4-6):1017-1029. 1996

Zubkov, M.V., B.M. Fuchs, H. Eilers, P.H. Burkill and R. Amann. 1999. — Determination of total protein content of bacterial cells by SYPRO staining and flow cytometry. Appl. Environ. Microbiol., 65: 3251-3257.

Zubkov, M.V., M.A. Sleigh, G.A. Tarran, P.H. Burkill and R.J.G. Leakey. 1998. — Picoplankton community structure on an Atlantic transect from 50°N to 50°S. Deep-Sea Res. I, 45: 1339-1355.

Zubkov, M.V., Sleigh, M.A.., Burkill, P.H. & Leakey, R.J.G. (In Press). Bacterial growth and grazing loss in contrasting areas of the North and South Atlantic. Marine Ecology Progress Series