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Patch-clamp techniques for time-resolved capacitance measurements in single cells.

M Lindau1, E Neher

  • 1Freie Universität Berlin, Fachbereich Physik, Abteilung Biophysik, Federal Republic of Germany.

Pflugers Archiv : European Journal of Physiology
|February 1, 1988
PubMed
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Two methods estimate passive cell parameters like membrane capacitance and conductance in whole-cell recordings. These techniques, the time domain and lock-in amplifier methods, offer flexibility and accuracy for electrophysiology research.

Area of Science:

  • Electrophysiology
  • Cellular Biophysics

Background:

  • Accurate estimation of passive cell parameters is crucial for understanding cell function.
  • Tight-seal whole-cell recording is a standard technique in cellular electrophysiology.

Purpose of the Study:

  • To describe two novel methods for estimating passive cell parameters.
  • To compare the applicability and flexibility of these methods in whole-cell recordings.

Main Methods:

  • Time domain technique: Analyzes capacitive transients from square wave stimulation using standard equipment and a computer.
  • Lock-in amplifier method: Uses sine wave stimulation and a lock-in amplifier to analyze current signals, with two operational modes.

Main Results:

  • Both methods accurately estimate membrane capacitance, conductance, and access resistance for simple linear cell models.

Related Experiment Videos

  • The time domain technique is highly adaptable to different experimental parameters and recording configurations (slow whole-cell and normal whole-cell).
  • The lock-in amplifier method offers high resolution for capacitance measurements and data reduction but requires specialized hardware.

    • Conclusions:

    • The described methods provide reliable estimation of passive cell parameters.
    • The time domain technique offers greater flexibility for diverse electrophysiological applications.
    • The lock-in amplifier method is suitable for specific applications requiring high capacitance resolution or automated data reduction.