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Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording

Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1a9ae4dc59a744c09957a10e63f6e8e8

Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording

About this item

Full title

Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording

Publisher

Germany: John Wiley & Sons, Inc

Journal title

Advanced science, 2025-03, Vol.12 (12), p.e2404166-n/a

Language

English

Formats

Publication information

Publisher

Germany: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

The patch clamp technique is a fundamental tool for investigating ion channel dynamics and electrophysiological properties. This study proposes the first artificial intelligence framework for characterizing multiple ion channel kinetics of whole‐cell recordings. The framework integrates machine learning for anomaly detection and deep learning for m...

Alternative Titles

Full title

Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1a9ae4dc59a744c09957a10e63f6e8e8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1a9ae4dc59a744c09957a10e63f6e8e8

Other Identifiers

ISSN

2198-3844

E-ISSN

2198-3844

DOI

10.1002/advs.202404166

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