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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

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

Langlois Robert R   Pallesen Jesper J   Ash Jordan T JT   Nam Ho Danny D   Rubinstein John L JL   Frank Joachim J  

Journal of structural biology 20140306 1


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 reconstr  ...[more]

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