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SanPy: A whole-cell electrophysiology analysis pipeline.

Laura Guarina1, Johnson Tran Le1, Theanne N Griffith1

  • 1Department of Physiology & Membrane Biology, University of California-Davis School of Medicine, Davis, California, 95616, USA.

Biorxiv : the Preprint Server for Biology
|May 22, 2023
PubMed
Summary

SanPy is a new open-source software tool for analyzing cell voltage recordings. It offers an intuitive interface for exploring action potentials and cardiac parameters, aiding excitable cell research.

Keywords:
action potentialanalysis softwarecardiac myocytecurrent-clampelectrophysiologyexcitable cellsneuronwhole-cell

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Area of Science:

  • Neuroscience and Electrophysiology
  • Computational Biology and Bioinformatics

Background:

  • Analyzing action potentials and membrane voltage fluctuations is crucial for understanding excitable cell function.
  • A significant challenge in this field is the absence of standardized, user-friendly software for data analysis.

Approach:

  • SanPy is a Python-based, open-source software pipeline for analyzing whole-cell current-clamp recordings.
  • It features a robust computational engine with an API and a cross-platform graphical user interface (GUI) that requires no programming knowledge.
  • The software is designed for extensibility through a plugin architecture.

Key Points:

  • SanPy extracts key action potential parameters (threshold, peak, half-width, interval statistics) and cardiac parameters (diastolic duration and rate).
  • It emphasizes quality control and data exploration with linked plots for multi-dimensional data visualization.
  • The software includes comprehensive documentation and use cases, validated on heart and brain cell recordings.

Conclusions:

  • SanPy provides a powerful, accessible tool for whole-cell current-clamp data analysis.
  • Its open-source nature and extensible design foster community contributions and future development.