Intelligent In-Cell Electrophysiology: Reconstructing Action Potentials from Nanoelectrode Data Using Physics-Informed Deep Learning.
Authors 10
-
University of California San Diego
Affiliation as printed
University of California San Diego
Department of Nanoengineering, Jacobs School of Engineering, University of California, San Diego, CA, USA
Shu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering, University of California, San Diego, CA, USA
-
University of California San Diego
Affiliation as printed
University of California San Diego
Department of Nanoengineering, Jacobs School of Engineering, University of California, San Diego, CA, USA
-
Affiliation as printed
Stanford University
Department of Chemistry, Stanford University, Stanford, CA, USA
-
National University of Singapore · University of California San Diego · Stanford University
Affiliation as printed
Stanford University
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego
National University of Singapore
University of California San Diego
-
National University of Singapore · Stanford University
Affiliation as printed
National University of Singapore
Department of Chemistry, Stanford University, Stanford, CA, USA
Wu-Tsai Neuroscience Institute and ChEM-H Institute, Stanford University; Stanford, CA, USA
-
University of California San Diego
Affiliation as printed
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, San Diego, CA, USA
-
National University of Singapore · University of California San Diego · Stanford University
Affiliation as printed
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego
National University of Singapore
Stanford University
University of California San Diego
-
University of California San Diego · Stanford Cardiovascular Institute · Stanford University
Affiliation as printed
Stanford University
Department of Chemistry, Stanford University, Stanford, CA, USA
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, San Diego, CA, USA
Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
Wu-Tsai Neuroscience Institute and ChEM-H Institute, Stanford University; Stanford, CA, USA
-
Forschungszentrum Jülich · Italian Institute of Technology · RWTH Aachen University
Affiliation as printed
Forschungszentrum Jülich
Faculty of Electrical Engineering and IT, RWTH, Aachen 52074, Germany
Institute of Biological Information Processing-Bioelectronics, IBI-3, Forschungszentrum, Juelich 52428, Germany
Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
-
National University of Singapore · University of California San Diego · Stanford University
Affiliation as printed
Stanford University
Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego
National University of Singapore
University of California San Diego
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).