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Parametric analysis of histograms measured in flow cytometry.

Authors
Type
Published Article
Journal
Cytometry
Publication Date
Volume
4
Issue
1
Pages
75–82
Identifiers
PMID: 6617397
Source
Medline
License
Unknown

Abstract

Flow cytometric histograms frequently consist of several components that show various degrees of overlap. For many types of analysis it is of great importance to decompose the original histogram into its components. To that purpose, we investigated the maximum likelihood approach in detail. It is shown that the iterative method to solve the maximum likelihood equations is well behaved for a variety of initial values. Algorithms to obtain initial values are presented, and the performance of the method is tested when applied to the analysis of DNA measurements from heterogeneous cell populations that differ with respect to DNA content.

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