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

“New tools for automated high-resolution cryo-EM structure determination in RELION-3” (2018), by Jasenko Zivanov et al. Genetics and Biochemistry research paper. Original abstract below, unchanged. A free PDF is available.

- Authors: Jasenko Zivanov, Takanori Nakane, Björn O. Forsberg, Dari Kimanius, Wim J. H. Hagen, Erik R. Lindahl, Sjors H. W. Scheres
- Published: November 9, 2018
- Field: Genetics and Biochemistry
- DOI: https://doi.org/10.7554/elife.42166
- Free PDF: https://www.biorxiv.org/content/biorxiv/early/2018/09/19/421123.full.pdf

## 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. Perparticle 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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