Automated particle picking for low-contrast macromolecules in cryo-electron microscopy.

ABSTRACT: Cryo-electron microscopy is an increasingly popular tool for studying the structure and dynamics of biological macromolecules at high resolution. A crucial step in automating single-particle reconstruction of a biological sample is the selection of particle images from a micrograph. We present a novel algorithm for selecting particle images in low-contrast conditions; it proves more effective than the human eye on close-to-focus micrographs, yielding improved or comparable resolution in reconstructions of two macromolecular complexes.

SUBMITTER: Langlois R 

PROVIDER: S-EPMC4063204 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature