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Related Experiment Videos

Interactive display and analysis of data from bivariate flow cytometers.

D E Bennett, B H Mayall

    The Journal of Histochemistry and Cytochemistry : Official Journal of the Histochemistry Society
    |January 1, 1979
    PubMed
    Summary

    SWELL is a computer program that analyzes flow cytometry data, displaying bivariate distributions in pseudocolor. It aids in comparing samples to identify significant differences for automated diagnosis.

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    Area of Science:

    • Computational Biology
    • Biomedical Engineering
    • Data Visualization

    Background:

    • Flow cytometry generates complex bivariate distributions requiring sophisticated analysis.
    • Existing methods may lack efficient visualization and comparative capabilities.

    Purpose of the Study:

    • To introduce SWELL, an interactive computer program for analyzing and visualizing flow cytometry data.
    • To enable automated sample diagnosis through comparative analysis of bivariate distributions.

    Main Methods:

    • SWELL utilizes a modular, menu-driven Fortran program with a video color display.
    • Bivariate data are processed as 64x64 matrices and visualized using pseudocolor representations.
    • Distributions are standardized for pooling and comparison, with differences highlighted via pseudocolor matrices.

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    Main Results:

    • Pseudocolor matrices effectively visualize bivariate distributions and their variations.
    • Subtraction of normal pools from unknown samples reveals significant differences.
    • Automated diagnosis is facilitated by analyzing counts within regions of statistical significance.

    Conclusions:

    • SWELL provides an effective tool for interactive analysis and visualization of flow cytometry data.
    • The program's comparative analysis capabilities support automated sample diagnosis.
    • Pseudocolor visualization aids in identifying subtle differences between normal and abnormal samples.