Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings

Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings

Abstract Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells’ electrical properties. Traditional methods like patch-clamp are precise but low-throughput and invasive. Nanoelectrode Arrays (NEAs) offer a promising alternative by enabling simul...

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Main Authors: Keivan Rahmani, Yang Yang, Ethan Paul Foster, Ching-Ting Tsai, Dhivya Pushpa Meganathan, Diego D. Alvarez, Aayush Gupta, Bianxiao Cui, Francesca Santoro, Brenda L. Bloodgood, Rose Yu, Csaba Forro, Zeinab Jahed
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55571-6
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https://doi.org/10.1038/s41467-024-55571-6

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