Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–4 of 4 filtered models
Chan Zuckerberg Initiative / Human Protein Atlas / Lundberg Lab
Self-supervised Vision Transformer models trained on proteome-wide fluorescence microscopy images from the Human Protein Atlas for subcellular protein localization.
Fudan University
Foundation model for fluorescence microscopy image restoration, unifying super-resolution, denoising, isotropic reconstruction, projection, and volumetric reconstruction in one Swin transformer.
HHMI Janelia Research Campus
Human-in-the-loop cell segmentation framework enabling custom model training from as few as 100-200 corrected annotations.
Generalist deep learning algorithm for cell and nucleus instance segmentation using simulated diffusion flows, without per-dataset retraining.