期刊
ELIFE
卷 7, 期 -, 页码 -出版社
ELIFE SCIENCES PUBLICATIONS LTD
DOI: 10.7554/eLife.42166
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资金
- Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung [SNF: P2BSP2 168735]
- Vetenskapsradet [2017-04641]
- Knut och Alice Wallenbergs Stiftelse
- Medical Research Council [MC_UP_A025_1013]
- Japan Society for the Promotion of Science Overseas Research Fellowship
- Swedish National Infrastructure for Computing [2017/12-54]
- MRC [MC_UP_A025_1013] Funding Source: UKRI
- Swedish Research Council [2017-04641] Funding Source: Swedish Research Council
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 angstrom compared to previous RELION versions.
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