{"entity": "publication", "iuid": "e870a684741f4bbbbd92b5483b04e76f", "timestamp": "2026-09-03T05:16:10.227Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/e870a684741f4bbbbd92b5483b04e76f.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/e870a684741f4bbbbd92b5483b04e76f"}}, "title": "New tools for automated high-resolution cryo-EM structure determination in RELION-3.", "authors": [{"family": "Zivanov", "given": "Jasenko", "initials": "J", "orcid": "0000-0001-8407-0759", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c558645bdcb34890a1eee8786b3126d8.json"}}, {"family": "Nakane", "given": "Takanori", "initials": "T", "orcid": "0000-0003-2697-2767", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3fa28db5ed51428f85508b6986fa0f72.json"}}, {"family": "Forsberg", "given": "Bj\u00f6rn O", "initials": "BO"}, {"family": "Kimanius", "given": "Dari", "initials": "D"}, {"family": "Hagen", "given": "Wim Jh", "initials": "WJ", "orcid": "0000-0001-6229-2692", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f90d3efecb1f420e8ba6bf2e2d5f0f91.json"}}, {"family": "Lindahl", "given": "Erik", "initials": "E", "orcid": "0000-0002-2734-2794", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9eb30fa60f9b4b95842ac9d9f3a0eaa9.json"}}, {"family": "Scheres", "given": "Sjors Hw", "initials": "SH", "orcid": "0000-0002-0462-6540", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b64851b999fd42f7bf7b25856946dc62.json"}}], "type": "journal article", "published": "2018-11-09", "journal": {"title": "Elife", "issn": "2050-084X", "volume": "7", "issn-l": "2050-084X"}, "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 \u00c5 compared to previous RELION versions.", "doi": "10.7554/eLife.42166", "pmid": "30412051", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC6250425"}, {"db": "pii", "key": "42166"}], "notes": [], "created": "2026-08-21T13:07:26.149Z", "modified": "2026-08-21T13:07:26.267Z"}