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Signal processing electronics for multiple electronic and optical measurements on cells

J A Steinkamp, R D Hiebert

    Cytometry
    |January 1, 1982
    PubMed
    Summary
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    A new processor enables simultaneous or sequential analysis of multiple signals in flow cytometry. This technology enhances cell analysis by processing electrical and optical data for detailed frequency distribution histograms.

    Area of Science:

    • Biotechnology
    • Analytical Chemistry
    • Signal Processing

    Background:

    • Flow cytometry is a crucial technique for analyzing cell characteristics.
    • Simultaneous analysis of multiple signals presents a technical challenge in flow cytometry.
    • Existing systems may have limitations in processing diverse signal types concurrently.

    Purpose of the Study:

    • To develop advanced processing electronics for flow cytometry.
    • To enable simultaneous or sequential analysis of multiple electrical and optical signals.
    • To enhance the capabilities of cell analysis in flow cytometry applications.

    Main Methods:

    • Developed a processor accepting up to six analog signals.
    • Implemented a measurement mode selector for signal analysis and timing.

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  • Utilized logic coincidence-anticoincidence circuits for signal constraints.
  • Integrated gated peak-sense and hold signals with computer interface electronics for digitization.
  • Employed an LSI-11 computer for generating frequency distribution histograms.

    • Main Results:

    • Successfully developed processing electronics for flow cytometry.
    • Demonstrated simultaneous and sequential analysis of multiple signals.
    • Enabled processing of signals as single parameters, ratios, and gated single parameters.
    • Facilitated output to multichannel pulse-height analyzers and cell sorting electronics.
    • Illustrated functionality with cultured cells stained with fluorescent dyes.

    Conclusions:

    • The developed processor significantly advances flow cytometry capabilities.
    • The system allows for comprehensive analysis of complex cellular data.
    • This technology supports more detailed and efficient cell sorting and analysis.