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Patch Clamp

Patch Clamp

Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
In this method, a glass micropipette containing electrolyte solution is tightly sealed against a small portion of the cell membrane. As a result, a patch of the cell...

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Related Experiment Video

Updated: May 21, 2025

A Computer-assisted Multi-electrode Patch-clamp System

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with "Auto ANT", a User-Friendly Interface for Batch

Giusy Pizzirusso^1,2, Simon Sundström³, Luis Enrique Arroyo-García⁴

¹Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17177, Solna, Sweden. giusy.pizzirusso@ki.se.

Neuroinformatics

|March 19, 2025

Summary

This study introduces Auto ANT, an open-source software that automates patch-clamp data analysis. It offers a fast, reproducible method for extracting electrical properties from excitable cells.

Keywords:

Action Potential Analysis Automation Intrinsic properties Patch-clamp

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Last Updated: May 21, 2025

A Computer-assisted Multi-electrode Patch-clamp System

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices

Published on: July 31, 2017

One-channel Cell-attached Patch-clamp Recording

One-channel Cell-attached Patch-clamp Recording

Published on: June 9, 2014

Area of Science:

Electrophysiology
Computational Neuroscience
Biophysics

Background:

Patch-clamp recordings are crucial for studying excitable cell electrical properties.
Manual analysis of these recordings is time-consuming and prone to variability.

Purpose of the Study:

To develop an automated, user-friendly software for analyzing patch-clamp recordings.
To streamline the extraction of firing and passive membrane properties.
To enhance reproducibility and efficiency in electrophysiological data analysis.

Main Methods:

Development of Auto ANT (Automated Analysis and Tables) open-source software.
Implementation of a graphical user interface for ease of use.
Inclusion of batch analysis capabilities for multiple recordings.

Main Results:

Auto ANT automates the extraction of firing and passive membrane properties.
The software enables batch analysis of multiple patch-clamp files in minutes.
Provides a fast, efficient, and reproducible alternative to manual analysis.

Conclusions:

Auto ANT accelerates electrophysiological data analysis.
The software promotes consistency and reproducibility in research.
It empowers researchers without programming expertise to perform comprehensive analyses.