Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C

Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C

Abstract Simultaneously recording network activity and ultrastructural changes of the synapse is essential for advancing understanding of the basis of neuronal functions. However, the rapid millisecond‐scale fluctuations in neuronal activity and the subtle sub‐diffraction resolution changes of synap...

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Bibliographic Details
Main Authors: Meng Lu, Ernestine Hui, Marius Brockhoff, Jakob Träuble, Ana Fernandez‐Villegas, Oliver J Burton, Jacob Lamb, Edward Ward, Philippa J Woodhams, Wadood Tadbier, Nino F Läubli, Stephan Hofmann, Clemens F Kaminski, Antonio Lombardo, Gabriele S Kaminski Schierle
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Advanced Science
Subjects:
electrophysiology
graphene
machine learning
microelectrode array
niemann‐pick disease type C
structured illumination microscopy
Online Access:https://doi.org/10.1002/advs.202402967
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