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Removing non-random artifacts from patch clamp traces

W Baumgartner1, H Schindler, C Romanin

  • 1Institute for Biophysics, University of Linz, Austria. werner.baumgartner@jk.uni-linz.ac.at

Journal of Neuroscience Methods
|August 13, 1998
PubMed
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Accurate analysis of cellular membrane currents requires removing artifacts. This study presents two novel methods for precise artifact removal from patch clamp traces, even with channel activity, improving ion channel kinetics studies.

Area of Science:

  • Biophysics
  • Cellular Electrophysiology

Background:

  • Analysis of cellular membrane currents is often hindered by various perturbations.
  • Deterministic artifacts, including capacitive currents, drift, and electrical noise, complicate accurate interpretation of single channel patch clamp traces.

Purpose of the Study:

  • To develop and validate novel methods for the parameter estimation and removal of deterministic artifacts from single channel patch clamp recordings.
  • To enable accurate analysis of ion channel kinetics by effectively removing perturbations.

Main Methods:

  • Two distinct methods were developed for artifact removal from patch clamp data.
  • Method 1: Artifact extraction from sweeps with moderate channel activity, assuming relatively constant artifacts over several sweeps.
  • Method 2: Artifact removal from individual sweeps with channel activity, correcting for drift, pick-up, and microphonics without requiring quiescent periods.

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Main Results:

  • Both methods successfully remove artifacts without needing sweeps lacking channel activity.
  • Simulated records across a range of experimental parameters validated the algorithms' correctness.
  • The methods were successfully applied to original records from cardiac and recombinant L-type Ca2+ channels.

Conclusions:

  • The developed methods provide robust solutions for removing deterministic artifacts from single channel patch clamp data.
  • These techniques enhance the accuracy of ion channel kinetics analysis, particularly in challenging experimental conditions.
  • The algorithms are applicable to various biological systems, including cardiac and L-type calcium channels.