Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
HHMI Janelia Research Campus
Generalist cell segmentation model combining SAM's ViT-L backbone with Cellpose flow fields. First model to surpass average human annotators on the Cellpose benchmark.
Generalist cell segmentation framework with a super-generalist cyto3 model and one-click image restoration networks optimized for downstream segmentation quality.
Recursion Pharmaceuticals
Channel-agnostic Vision Transformer trained on 3M+ Cell Painting images via masked autoencoder, producing 384-dimensional morphological embeddings for zero-shot phenotypic analysis.
Chan Zuckerberg Biohub / Mehta Lab
A suite of virtual staining models that translate label-free microscopy images into fluorescent-equivalent staining of nuclei and plasma membranes.
Mathis Lab
Self-supervised 3D cell segmentation for fluorescence microscopy using WNet3D and Swin-UNetR, achieving supervised-level performance without annotated training data.