arXiv Machine Learning
Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification
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arXiv Machine Learning
Sep 7
The microscope is the mask: privileged views and labels from a cryo-ET forward model
The paper introduces CARNIVAL, a model for protein annotation in cryo-electron tomography (cryo-ET) volumes that leverages simulated data and a forward model to generate domain‑specific augmented paired views for self‑supervised training. By incorporating simulation‑derived protein positions and identities into the architecture and loss function, the model localises semantic information at protein locations. CARNIVAL is evaluated on real tomograms without finetuning and outperforms a state‑of‑the‑art contrastive model that lacks forward‑model paired views or privileged information.
arXiv Machine Learning
Jun 2
CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps
arXiv:2606. 00955v1 Announce Type: new Abstract: Despite the growing availability of cryo-electron microscopy (cryo-EM) density maps, effectively leveraging them for protein representation remains challenging.
arXiv Machine Learning
Jun 10
POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET
arXiv:2606. 10255v1 Announce Type: cross Abstract: Cryo-electron tomography (cryoET) has emerged as a powerful tool in structural and cellular biology by enabling direct visualization of macromolecular structures within intact cells, thereby linking molecular architecture to cellular organization in a native context.
arXiv Computer Vision
4d ago
At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
arXiv:2604.10766v5 Announce Type: replace Abstract: Open-set 3D macromolecule detection in cryogenic electron tomography eliminates the need for target-specific model retraining. However, strict VRAM...
arXiv Computer Vision
Aug 25
Few-Shot Cross-Dataset Adaptation for Tuberculosis Detection Using DenseNet
arXiv:2608.21427v1 Announce Type: new Abstract: Tuberculosis (TB) is one of the most common and dangerous bacterial ailments. Every year, it causes a large number of deaths worldwide. Although many d...
arXiv Computer Vision
Sep 1
Reconstruction-Aware Cryo-EM Particle Picking
arXiv:2608.28838v1 Announce Type: cross Abstract: Cryo-electron microscopy (cryo-EM) determines the structures of proteins and macromolecular assemblies at near-atomic resolution, and the final 3D re...