Robust self-supervised denoising of voltage imaging data using CellMincer.

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Bibliographic Details
Title: Robust self-supervised denoising of voltage imaging data using CellMincer.
Authors: Wang B; Data Sciences Platform (DSP), Broad Institute of MIT and Harvard, Cambridge, MA USA., Ma T; Data Sciences Platform (DSP), Broad Institute of MIT and Harvard, Cambridge, MA USA.; Department of Computer Science and Engineering, Oakland University, Rochester, MI USA., Chen T; Spatial Technology Platform (STP), Broad Institute of MIT and Harvard, Cambridge, MA USA.; Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, Cambridge, MA USA., Nguyen T; Spatial Technology Platform (STP), Broad Institute of MIT and Harvard, Cambridge, MA USA., Crouse E; Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, Cambridge, MA USA., Fleming SJ; Data Sciences Platform (DSP), Broad Institute of MIT and Harvard, Cambridge, MA USA., Walker AS; Departments of Molecular & Cell Biology and Chemistry and Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA USA., Valakh V; Spatial Technology Platform (STP), Broad Institute of MIT and Harvard, Cambridge, MA USA.; Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, Cambridge, MA USA., Nehme R; Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard, Cambridge, MA USA., Miller EW; Departments of Molecular & Cell Biology and Chemistry and Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA USA., Farhi SL; Spatial Technology Platform (STP), Broad Institute of MIT and Harvard, Cambridge, MA USA., Babadi M; Data Sciences Platform (DSP), Broad Institute of MIT and Harvard, Cambridge, MA USA.
Source: Npj imaging [Npj Imaging] 2024; Vol. 2 (1), pp. 51. Date of Electronic Publication: 2024 Dec 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group UK Country of Publication: Switzerland NLM ID: 9918733285306676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-197X (Electronic) Linking ISSN: 2948197X NLM ISO Abbreviation: Npj Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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