2

Cell morphology, learned from image-based spatial proteomics, is shown to predict molecular phenotypes — bridging single-cell imaging and proteomics.

Large-scale immunofluorescence profiling maps how SARS-CoV-2 reshuffles the host protein landscape across 602 proteins, then screens approved drugs against the changed targets — yielding a 100,000-image public resource and pinpointing elesclomol as an antiviral modulator.

A universal deep-learning approach for accurate FISH spot detection across imaging-based spatial-omics datasets.

A framework that makes deep-learning pipelines for microscopy flexible, shareable, and reproducible across computing environments.