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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: Nov 9, 2025

A Computer-assisted Multi-electrode Patch-clamp System

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

Analysis of patchclamp recordings: model-free multiscale methods and software.

Florian Pein¹, Benjamin Eltzner², Axel Munk^2,3,4

¹Statistical Laboratory, DPMMS, University of Cambridge, Cambridge, UK. fpein@maths.cam.ac.uk.

European Biophysics Journal : EBJ

|April 10, 2021

Summary

This summary is machine-generated.

This study offers practical guidance for analyzing challenging patch-clamp recordings using the JSMURF, JULES, and HILDE model-free multiscale idealization methods. The accompanying software manual ensures proper selection and parameter tuning for effective data analysis.

Keywords:

Deconvolution Flickering Fully automatic Hidden Markov models Homogeneous and heterogeneous noise Ion channel recordings Low-pass filtering Open-channel noise PorB Subconductance states

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Last Updated: Nov 9, 2025

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One-channel Cell-attached Patch-clamp Recording

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Published on: June 9, 2014

Area of Science:

Biophysics
Computational Biology
Neuroscience

Background:

Patch-clamp recording analysis presents significant challenges.
Existing methods may require complex modeling or lack flexibility.

Purpose of the Study:

To provide practical guidance for analyzing patch-clamp recordings.
To introduce and detail the JSMURF, JULES, and HILDE model-free multiscale idealization methodology.
To offer a user manual for the accompanying R-package and graphical user interface software.

Main Methods:

Model-free multiscale idealization using JSMURF, JULES, and HILDE.
Development of an R-package and graphical user interface for software implementation.
Guidance on approach selection and parameter tuning.

Main Results:

Demonstration of practical application of JSMURF, JULES, and HILDE for patch-clamp data analysis.
Availability of user-friendly software for implementing the methodology.
Comparative analysis of model-free versus hidden Markov model approaches.

Conclusions:

The JSMURF, JULES, and HILDE methodology offers a robust approach to patch-clamp recording analysis.
The provided software facilitates accessible and effective data analysis.
Model-free and hidden Markov model approaches can be complementary in analyzing complex biological data.