PickET: An unsupervised method for localizing macromolecules in cryo-electron tomograms.

ABSTRACT: Cryo-electron tomography (cryo-ET) datasets are rich sources of information capable of describing the localizations, structures, and interactions of macromolecules. However, most current methods for localizing particles in cryo-electron tomograms are limited to macromolecules with known structure, require extensive manual annotations, and/or are computationally expensive. Here, we present PickET, a method for localizing macromolecules in tomograms that does not rely on expert annotations and prior structures. Its performance is demonstrated on a diverse dataset comprising over a hundred tomograms from publicly available datasets, varying in sample types, sample preparation conditions, microscope hardware, and image processing workflows. We demonstrate that PickET can simultaneously localiz

SUBMITTER: Arvindekar S 

PROVIDER: S-EPMC12393384 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature