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.
We mostly use publicly available data sets from the EMPIAR data base at EMBL-EBI. For this study, we have submitted to this data base our own data on the human gamma-secretase complex (EMPIAR-10194) and on the high-resolution apo-ferritin sample described in the text (EMPIAR-10200).
An atomic structure of human gamma-secretase [2925 multi-frame micrographs composed of 20 frames each in MRCS format]Electron Microscopy Public Image Archive, EMPIAR-10194.
Human apo-ferritin reconstructed in RELION-3.0Electron Microscopy Public Image Archive, EMPIAR-10200.
2.2 A resolution cryo-EM structure of beta-galactosidase in complex with a cell-permeant inhibitorElectron Microscopy Public Image Archive, EMPIAR-10061.
40 Degree Tilted Single-Particle CryoEM of Highly Preferred Orientated Influenza Hemagglutinin TrimerElectron Microscopy Public Image Archive, EMPIAR-10097.
Bacteriophage P22 mature virion capsid proteinElectron Microscopy Public Image Archive, EMPIAR-10083.
- Sjors HW Scheres
- Jasenko Zivanov
- Erik Lindahl
- Erik Lindahl
- Takanori Nakane
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
- Edward H Egelman, University of Virginia, United States
© 2018, Zivanov et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.