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 - Lu, Meng; Hui, Ernestine; Brockhoff, Marius; Träuble, Jakob; Fernandez‐Villegas, Ana; Burton, Oliver J; Lamb, Jacob; Ward, Edward; Woodhams, Philippa J; Tadbier, Wadood; Läubli, Nino F; Hofmann, Stephan; et al. (Advanced science, 2024)
Keywords: Accuracy; Algorithms; Animals; Clustering; Datasets; Design; Disease; Electrodes; electrophysiology; Graphene; Graphite; Hippocampus - metabolism; Hippocampus - pathology; Machine Learning; microelectrode array; Microelectrodes; Microscopy; Microscopy - methods; Neurons - metabolism; Neurons - pathology; Neurosciences; Niemann-Pick Disease, Type C - metabolism; Niemann-Pick Disease, Type C - pathology; niemann‐pick disease type C; Open source software; Rats; structured illumination microscopy; microelectrode array; electrophysiology; structured illumination microscopy; machine learning; niemann‐pick disease type C; graphene