Segmentation tells you where the cells are. The next layer up turns those pixels into meaning — a phenotypic fingerprint you can compare, cluster, and query. This season a proteome-aware vision model learned to read protein localization and morphology straight from Human Protein Atlas images, generalizing to new datasets it had never seen — while the field stayed honest about the wall it keeps hitting: models trained on one imaging setup break when the channels don’t match.
