All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–10 of 10 filtered models
CryoSiam
201—European Molecular Biology LaboratoryNovember 12, 2025convolutional_neural_networkcryo_etdenoising+8Self-supervised Siamese network for cryo-electron tomography, enabling zero-shot denoising, segmentation, and macromolecule detection in tomograms.
Imaging64OpennessEMReady2
13—Cryo-EM and cryo-ET map enhancement model that sharpens density maps with a Mamba-based dual-branch UNet and local resolution-guided learning.
Imaging54OpennessTopCUP
3——Cryo-ET particle picking model, an ensemble of 3D U-Nets with EfficientNet encoders that finds protein complexes in tomograms by heatmap segmentation.
Imaging96OpennessCryo-ET particle picking model that averages tiny, medium, and large 3D U-Nets pretrained on simulated tomograms and fine-tuned on experimental data.
Imaging86OpennessMonjuDetectHM
211—Cryo-ET particle picking ensemble of three 3D segmentation models predicting particle-center heatmaps with ResNet50d and EfficientNetV2-M backbones.
Imaging95OpennessBPD
2——Cryo-ET particle picking model that localizes six protein complexes in tomograms using an ensemble of lightweight 3D U-Nets.
Imaging67OpennessOctopi
13——Cryo-ET particle picking model that localizes and classifies multiple protein complexes in a tomogram with a single 3D U-Net forward pass.
Imaging81OpennessSABER
18——Cryo-ET segmentation framework adapting SAM2 to vesicles and membrane-bound compartments in tomograms and 2D micrographs, zero-shot or fine-tuned.
Imaging78OpennessCryoLens
19——Variational autoencoder that learns interpretable representations of protein subtomograms from cryo-ET, trained on 5.8 million synthetic particles.
Imaging74OpennessCryoViT
125—Semi-supervised cryo-ET segmentation framework that adapts DINOv2 vision transformers for 3D organelle annotation using sparse 2D slice labels.
Imaging45Openness