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Ganesh Prasanna

affiliation not provided to SSRN

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Use of Machine Learning for Quantification of Retinal Pigment Epithelium Tight Junctions Improves Assay Sensitivity

Number of pages: 25 Posted: 18 Jun 2024
Mark-Anthony Bray, Yan Gao, Michael Twarog, YongYao Xu, Natasha Buchanan, Yiyun Zhang, Quintus Medley, Magali Saint-Geniez, Ganesh Prasanna and Qin Zhang
Novartis Institutes for Biomedical Research, Cambridge - Department of Chemical Biology and Therapeutics, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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retinal pigment epithelium, Tight junction, Confocal microscopy, Automated quantification, Image analysis, open-source software, Machine learning