New Tools for Automated High-Resolution cryo-EM Structure Determination in RELION-3

Elife. 2018 Nov 9;7:e42166. doi: 10.7554/eLife.42166.

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.

Keywords: Cryo-EM; molecular biophysics; none; single-particle analysis; software; structural biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Automation, Laboratory / methods*
  • Cryoelectron Microscopy / methods*
  • Image Processing, Computer-Assisted / methods*