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New tools for automated high-resolution cryo-EM structure determination in RELION-3.

ABSTRACT: Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of estimated beam tilt provides higher resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2-0.7 Å compared to previous RELION versions.

SUBMITTER: Zivanov J

PROVIDER: S-EPMC6250425 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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New tools for automated high-resolution cryo-EM structure determination in RELION-3.

Zivanov Jasenko J Nakane Takanori T Forsberg Björn O BO Kimanius Dari D Hagen Wim Jh WJ Lindahl Erik E Scheres Sjors Hw SH

eLife 20181109

Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, <i>de novo</i> model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of ...[more]

PMID: 30412051

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