AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.

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Bibliographic Details
Title: AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.
Authors: Nabi IR; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada.; School of Biomedical Engineering, University of British Columbia, Vancouver, Canada., Cardoen B; School of Computing Science, Simon Fraser University, Burnaby, Canada., Khater IM; School of Computing Science, Simon Fraser University, Burnaby, Canada.; Department of Electrical and Computer Engineering, Faculty of Engineering and Technology, Birzeit University, Birzeit, Palestine., Gao G; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada., Wong TH; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada., Hamarneh G; School of Computing Science, Simon Fraser University, Burnaby, Canada.
Source: The Journal of cell biology [J Cell Biol] 2024 Aug 05; Vol. 223 (8). Date of Electronic Publication: 2024 Jun 12.
Publication Type: Journal Article; Review
Journal Info: Publisher: Rockefeller University Press Country of Publication: United States NLM ID: 0375356 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1540-8140 (Electronic) Linking ISSN: 00219525 NLM ISO Abbreviation: J Cell Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1540-8140
DOI:10.1083/jcb.202311073