J. Goldberg

ScaleFExSM is a scalable pipeline for extracting interpretable features from high-content imaging data, improving drug response analysis and disease profiling.

The paper uses multiscale imaging to study corneal endothelium damage in mouse models, finding that Rho Kinase inhibitors reduce fully-distorted tight junctions under acute ocular hypertension.

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

This study generates gene expression atlases for 10 plant species to identify conserved transcriptional programs in organogenesis and reproduction, revealing gene co-option as a key mechanism for organ evolution.