SanPy: A whole-cell electrophysiology analysis pipeline

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.