Deep Learning-Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording (Adv. Sci. 12/2025)

IF 14.3 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Advanced Science Pub Date : 2025-03-27 DOI:10.1002/advs.202570080

Shengjie Yang, Jiaqi Xue, Ziqi Li, Shiqing Zhang, Zhang Zhang, Zhifeng Huang, Ken Kin Lam Yung, King Wai Chiu Lai

引用次数: 0

Abstract

Deep Learning

This work showcases the integration of artificial intelligence in analyzing ion channel recordings. It highlights the AI-driven evaluation of ion channel kinetics and the visualization of ion channel activity on the cell membrane. The framework automatically processes patch clamp data, delivering precise ion channel kinetics, offering a powerful tool for advancing electrophysiological research. More details can be found in article number 2404166 by King Wai Chiu Lai and co-workers.

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来源期刊

Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY

CiteScore

18.90

自引率

2.60%

发文量

1602

审稿时长

1.9 months

期刊介绍： Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.