Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording
Abstract 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 mac...
Saved in:
| Main Authors: | Shengjie Yang, Jiaqi Xue, Ziqi Li, Shiqing Zhang, Zhang Zhang, Zhifeng Huang, Ken Kin Lam Yung, King Wai Chiu Lai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
|
| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202404166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Resolving Artifacts in Voltage‐Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings
by: Chon Lok Lei, et al.
Published: (2025-08-01) -
In vitro electrophysiological characterization of Parkinson’s disease: challenges, advances, and future directions
by: Sara Grasselli, et al.
Published: (2025-04-01) -
Regulation of Kv2.1 Channels by Kv9.1 Variants
by: Hedaythul Choudhury, et al.
Published: (2025-05-01) -
An optimized Langendorff-free isolating method and electrophysiology studies for adult mouse atrioventricular node cells
by: Yuan Chen, et al.
Published: (2025-07-01) -
A range of voltage-clamp protocol designs for rapid capture of hERG kinetics [version 2; peer review: 3 approved]
by: Chon Lok Lei, et al.
Published: (2025-07-01)