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

Open access
Zivanov, Jasenko, Nakane, Takanori, Forsberg, Björn O, Kimanius, Dari, Hagen, Wim JH, Lindahl, Erik, Scheres, Sjors HW·2018·eLife
DOI 10.7554/elife.42166

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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.

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Metadata

Authors
Zivanov, J., Nakane, T., Forsberg, B. O., Kimanius, D., Hagen, W. J., Lindahl, E., & Scheres, S. H.
Venue
eLife
Publisher
eLife Sciences Publications, Ltd
Published
2018-11-09
Volume
7
ISSN
2050-084X (ISSN-L)
DOI
10.7554/elife.42166
OpenAlex
W2899714098
Cited by
4,621
References
1
FWCI
198.08
Type
journal article
Language
en
Open access
gold
Licence
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF: P2BSP2 168735)
  • Japan Society for the Promotion of Science (Overseas Research Fellowship)
  • Swedish National Infrastructure for Computing (2017/12-54)
  • Vetenskapsrådet (2017-04641)
  • Knut och Alice Wallenbergs Stiftelse
  • Medical Research Council (MC_UP_A025_1013)

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