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Conversion of linear histogram flow cytometry data to a logarithmic display.

C F Brunk, R E Bohman, C A Brunk

    Cytometry
    |September 1, 1982
    PubMed
    Summary
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    This study introduces a simple routine to rescale linear histograms to logarithmic histograms, improving data visualization for wide-ranging parameters. This method enhances peak representation and allows combining datasets with different linear ranges.

    Area of Science:

    • Data Visualization
    • Scientific Computing
    • Statistical Analysis

    Background:

    • Linear histograms can obscure details when data spans a wide range.
    • Visualizing data with large variations on a linear scale presents challenges.
    • Combining datasets with differing linear scales is problematic.

    Purpose of the Study:

    • To present a routine for rescaling linear histograms to logarithmic histograms.
    • To improve the display and analysis of scientific data with wide parameter ranges.
    • To enable the combination of linear histogram data with disparate ranges.

    Main Methods:

    • Development of a rescaling routine converting linear histogram data to a logarithmic scale.
    • Implementation of the routine as a BASIC program for microcomputer execution.

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  • Application of the logarithmic scale for enhanced data display and analysis.

    • Main Results:

    • The logarithmic histogram display significantly improves data visualization, especially for wide parameter ranges.
    • Logarithmic scales provide better proportionality between peak bandwidth and coefficients of variation.
    • The routine successfully allows the combination of linear data from histograms with different ranges.

    Conclusions:

    • The described routine offers an effective method for enhancing histogram data display and analysis.
    • Logarithmic rescaling is particularly beneficial for datasets with extensive parameter variations.
    • The BASIC program provides a practical tool for microcomputers to implement this data processing technique.