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MATLAB-based automated patch-clamp system for awake behaving mice.

Niraj S Desai1, Jennifer J Siegel2, William Taylor2

  • 1Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas desai@utexas.edu.

Journal of Neurophysiology
|June 19, 2015
PubMed
Summary
This summary is machine-generated.

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This study presents an automated system for blind patch-clamp recordings in awake mice, simplifying complex procedures. The user-friendly MATLAB system achieves results comparable to manual recordings by experienced researchers.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Electrophysiology

Background:

  • Automation is crucial in biomedical research, including DNA sequencing and high-throughput screening.
  • Previous work automated in vivo blind patch-clamp recordings in anesthetized animals.
  • Blind patch-clamp recording is a complex but stereotyped process suitable for automation.

Purpose of the Study:

  • To introduce an automated system for blind patch-clamp recordings in awake, head-fixed mice.
  • To develop a system that is easy to use, modify, and integrates seamlessly with behavioral equipment.
  • To enable efficient time use for automated electrophysiological recordings.

Main Methods:

  • Developed an automated system using standard, moderately priced patch recording equipment.
Keywords:
automationawakebehavingmousepatch clamp

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  • The system software is written in MATLAB for broad accessibility and ease of use.
  • Integrated behavioral equipment for recording from awake, freely moving mice.

    • Main Results:

    • Successfully obtained 19 whole-cell patch recordings from prefrontal cortex neurons in awake mice.
    • Achieved an average series resistance of 52 ± 4 MΩ.
    • Required an average of 5.7 ± 0.6 attempts per successful recording, comparable to manual methods.

    Conclusions:

    • The automated system is effective for blind patch-clamp recordings in awake mice.
    • The system's performance is comparable to that of experienced electrophysiologists.
    • This user-friendly MATLAB-based system will benefit cellular electrophysiologists studying awake behaving mice.