Unbiased single-cell morphology with self-supervised vision transformers.

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Bibliographic Details
Title: Unbiased single-cell morphology with self-supervised vision transformers.
Authors: Doron M; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Moutakanni T; Meta AI, Paris, France., Chen ZS; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Moshkov N; Synthetic and Systems Biology Unit, Biological Research Centre (BRC), Szeged, Hungary., Caron M; Meta AI, Paris, France., Touvron H; Meta AI, Paris, France., Bojanowski P; Meta AI, Paris, France., Pernice WM; Department of Neurology, Columbia University Medical Center, New York, NY, USA., Caicedo JC; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jun 18. Date of Electronic Publication: 2023 Jun 18.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2023.06.16.545359