“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.

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

Jasenko Zivanov, Takanori Nakane, Björn O. Forsberg et al. · November 9, 2018 · Genetics and Biochemistry

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.

Free PDF DOI: 10.7554/elife.42166