Use of machine learning for quantification of retinal pigment epithelium tight junctions improves assay sensitivity
Yan Gao, Mark‐Anthony Bray, Michael Twarog, YongYao Xu, Natasha M. Buchanan, Yiyun Zhang, Quintus G. Medley, Magali Saint‐Geniez, Ganesh Prasanna, Qin Zhang
This paper develops a machine learning method to quantify ZO-1 changes in RPE cells, improving assay sensitivity for detecting TJ aberrations in AMD-related treatments.
bioRxiv · May 24, 2024 · PreprintBioinformatics