Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with “Auto ANT”, a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings
Patch-clamp recordings are vital for investigating the electrical properties of excitable cells, yet the analysis of these recordings often involves time-consuming manual procedures prone to variability. To address this challenge, we developed the Auto ANT (Automated Analysis and Tables) open-source software, an automated, user-friendly graphical interface for the extraction of firing properties and passive membrane properties from patch-clamp recordings. Thanks to the novel built-in automation feature, Auto ANT enables batch analysis of multiple files recorded with the same protocol in minutes. Our tool is designed to streamline data analysis, providing a fast, efficient, and reproducible alternative to manual methods. With a focus on accessibility, Auto ANT allows the users to perform precise comprehensive electrophysiological analyses without requiring programming expertise. By combining automation with a user-centric design, Auto ANT offers a valuable resource for researchers to accelerate data analysis while promoting consistency and reproducibility across different studies.
Authors
- Giusy Pizzirusso (ORCID: https://orcid.org/0000-0001-7704-1239)
- Luis Enrique Arroyo‐García (ORCID: https://orcid.org/0000-0002-9206-0179)
- Simon Sundström
Institutions
- Karolinska Institutet (SE)
Publication Details
- Journal
- Neuroinformatics
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1007/s12021-025-09721-w
- Citations
- 2
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- Karolinska Institutet