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A new flow cytometric pulse height analyzer offering microprocessor controlled data acquisition and statistical

V Kachel, H Schneider, K Schedler

    Cytometry
    |November 1, 1980
    PubMed
    Summary
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    This study introduces a versatile data acquisition instrument for scientific research. It efficiently stores and processes histogram data, enabling advanced statistical analysis and graphical display for enhanced experimental insights.

    Area of Science:

    • Instrumentation and Measurement
    • Data Analysis
    • Scientific Computing

    Background:

    • Traditional data acquisition systems often lack integrated processing capabilities.
    • The need for versatile instruments capable of handling both one and two-parameter histograms is crucial in various scientific fields.
    • Real-time display and analysis of experimental data improve efficiency and accuracy.

    Purpose of the Study:

    • To describe a novel, cost-effective instrument for acquiring and processing histogram data.
    • To highlight the instrument's capabilities in displaying, storing, and analyzing one and two-parameter histograms.
    • To demonstrate advanced data manipulation features for scientific applications.

    Main Methods:

    • Utilized a low-cost 10 MHz oscilloscope for graphical and alphanumeric data display.

    Related Experiment Videos

  • Integrated an 18-element keyboard for complete instrument operation.
  • Implemented a data processor for statistical calculations (integrals, mean, standard deviation, coefficient of variation) and histogram manipulation (normalization, shifting, addition, subtraction, fitting).

    • Main Results:

    • The instrument can store up to 112 one-parameter histograms (128 channels) or 3 two-parameter histograms (64x64 channels).
    • Simultaneous display of original pulses, analogue rate meter, and growing histograms during data acquisition.
    • Advanced features include Gaussian distribution comparison, background subtraction, and 3D visualization of two-parameter histograms with projection capabilities.

    Conclusions:

    • The developed instrument offers a comprehensive solution for histogram data acquisition and analysis.
    • Its versatility and advanced processing features make it suitable for a wide range of scientific research.
    • The instrument enhances experimental workflow through real-time data visualization and sophisticated analysis tools.