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Error analysis in flow microfluorometry.

J Nedelman
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Abstract

Sources of error in a typical algorithm for the analysis of single flow-microfluorometric histograms are identified. A new statistical model for such data is presented, by means of which the error sources are quantitatively investigated. These theoretical investigations lead to three practical observations: A more detailed characterization of the fluorescence dispersion process is needed for a more refined algorithm. Levels of dispersion typically experienced are such that from a single histogram the distribution of cells within S-phase cannot be finely resolved; but the crude distribution of cells among the three phases G1, S, and G2-M may be accurately estimated. If currently typical levels of dispersion can be halved, then the S-phase distribution can be finely resolved.

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DNAFlow CytometryMicroscopy, FluorescenceModels, TheoreticalStatistics as TopicJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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J Nedelman. 1982. Error analysis in flow microfluorometry.. https://doi.org/10.1007/bf02788551

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