All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–8 of 8 filtered models
ProtiCelli
20——Deep generative model simulating fluorescence microscopy images for all 12,800 human proteins across three landmark stains, providing proteome-wide virtual cell imaging at single-cell resolution.
Imaging51OpennessSpatialDINO
—1—A native 3D vision transformer self-supervised on unlabeled fluorescence microscopy volumes that generalizes to unseen object classes without retraining or voxel annotations.
Imaging8OpennessCellpose-SAM
2.2K152—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.
Imaging50OpennessCellpose 3
2.2K322—Generalist cell segmentation framework with a super-generalist cyto3 model and one-click image restoration networks optimized for downstream segmentation quality.
Imaging65OpennessOpenPhenom-S/16
77803.4KChannel-agnostic Vision Transformer trained on 3M+ Cell Painting images via masked autoencoder, producing 384-dimensional morphological embeddings for zero-shot phenotypic analysis.
Imaging26OpennessScribblePrompt
21764—Interactive foundation model for biomedical image segmentation, prompted with scribbles, clicks, and bounding boxes to segment unseen structures.
Imaging63OpennessCytoland
979—A suite of virtual staining models that translate label-free microscopy images into fluorescent-equivalent staining of nuclei and plasma membranes.
Imaging99OpennessCellSeg3D
1201—Self-supervised 3D cell segmentation for fluorescence microscopy using WNet3D and Swin-UNetR, achieving supervised-level performance without annotated training data.
Imaging89Openness