We developed LABEL (with Feng Bao’s group), a whole-mouse annotation model that combines a pre-trained pathology foundation model, UNI, with a spatially aware K-nearest neighbors (KNNs) classifier, enabling automated annotation of organs, tissues, and cell types on images from H&E-stained whole-mouse sections.

Original publication: Clevenger et al., Cell, 2026