This was talked about on this group as well. I remember that the main idea was to increase the overall events to make the small population statistics more significant.. there was a link to a website which discusses the math behind that but I lost it. Hope this helps, maciej --- Lynn Dustin <dustinl@mail.rockefeller.edu> wrote: > > Hello all, > > This question arises from a rather heated discussion following a > seminar > yesterday, in which the speaker claimed that flow cytometry is not > useful for analyzing cells that are less than 1-2% of the starting > population. I am sure that with all of the sorting, multicolor > analysis, > and multiparameter gating that people do, we can prove this > assertion > wrong. > > If you have experience or publications with analysis of events well > below 1% of the starting cell population, could you please share > some > examples or references? > > Thanks in advance for your help! > ********************************************** > Lynn B. Dustin, Ph.D. > Center for the Study of Hepatitis C > Rockefeller University > Box 64 > 1230 York Ave. > New York, New York 10021 > Phone: 212-327-7067 > email: dustinl@mail.rockefeller.edu > ===== `---------------------------------------------` | Maciej S. Simm | 525 E 68th Street | | Research Technician | Room N-805 | | Cornell Medical Center | Tel. 212.746.3428 | `---------------------------------------------` |www.cd4cd8.com | 917-734-6280 | AIM - XsimmX | `---------------------------------------------` __________________________________________________ Get personalized email addresses from Yahoo! Mail - only $35 a year! http://personal.mail.yahoo.com/
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