TomoCPT: a generalizable model for 3D particle detection and localization in cryo-electron tomograms.

ABSTRACT: Cryo-electron tomography is a rapidly developing field for studying macromolecular complexes in their native environments and has the potential to revolutionize our understanding of protein function. However, fast and accurate identification of particles in cryo-tomograms is challenging and represents a significant bottleneck in downstream processes such as subtomogram averaging. Here, we present tomoCPT (Tomogram Centroid Prediction Tool), a transformer-based solution that reformulates particle detection as a centroid-prediction task using Gaussian labels. Our approach, which is built upon the SwinUNETR architecture, demonstrates superior performance compared with both conventional binary labelling strategies and template matching. We show that tomoCPT effectively generalizes to novel par

SUBMITTER: Shah PNM 

PROVIDER: S-EPMC11804251 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature