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Multi-user system for analysis of data from flow cytometry

โœ Scribed by Jerrold Fried; Marcy Mandel

Publisher
Elsevier Science
Year
1979
Weight
769 KB
Volume
10
Category
Article
ISSN
0010-468X

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โœฆ Synopsis

A new program is described for the analysis of DNA histograms from flow cytometry. The fundamental model representing the cell population is similar to one described previously. It assumes the population is grouped into compartmentS, each consisting of cells having approximately the same DNA content. After staining the cells with an appropriate fluorochrome, the fluorescence distribution of cells within each compartment is assumed to be Gaussian. In the present algorithm, the parameters of the model can either be computed directly by the program from the data, or can be specified as input by the user. When synchronous cell populations lacking distinct G 1 and G2/M phases are analyzed, the parameter values must first be obtained using an appropriate control. Percentages of cells in the various compartments are computed using a gradient search method described by Bevington.

DNA histograms Flow cytometry Sums of Gaussians Synchronous populations

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## Abstract ## Background Analytical flow cytometry (AFC) provides rapid and accurate measurement of particles from heterogeneous populations. AFC has been used to classify and identify phytoplankton species, but most methods of discriminant analysis of resulting data have depended on normality as