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Software for electrophysiological experiments with a personal computer.

D R Kegel, B D Wolf, R E Sheridan

    Journal of Neuroscience Methods
    |February 1, 1985
    PubMed
    Summary
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    This study presents software for IBM PCs to conduct electrophysiology experiments, enabling precise measurement of cellular currents and single-channel events with high time resolution.

    Area of Science:

    • Computational Neuroscience
    • Biophysics
    • Electrophysiology

    Background:

    • Traditional electrophysiology setups often require specialized hardware and software.
    • Efficient data acquisition and analysis are critical for understanding cellular function.

    Purpose of the Study:

    • To develop and describe a software suite for IBM personal computers (PCs) to perform electrophysiological recordings.
    • To detail the analog interface routines and their utilization of the 9513 counter/timer chip.
    • To enable both macroscopic and single-channel current recordings with high temporal precision.

    Main Methods:

    • Software developed in compiled BASIC with machine-language subroutines for IBM PCs running MS-DOS.
    • Utilizes Tecmar Labmaster analog interface board with a 9513 counter/timer chip.

    Related Experiment Videos

  • Two program series: one for voltage/current-clamp, another for single-channel event capture with a hardware window discriminator.

    • Main Results:

    • Achieved time resolution of approximately 32 microseconds (µs) per sample on PC and 15 µs on PC/AT.
    • Software facilitates capture of single-channel events and triggered stimuli during open-channel states.
    • Includes off-line analysis programs and compatibility with standard spreadsheet software for further processing.

    Conclusions:

    • The developed software provides a versatile and efficient platform for electrophysiology research on PCs.
    • High time resolution and flexible experimental design enhance data acquisition capabilities.
    • Integration with standard analysis tools allows for comprehensive data interpretation.