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Methods to account for movement and flexibility in cryo-EM data processing
Recent advances in direct electron detectors and improved CMOS cameras have been accompanied by the development of a range of software to take advantage of the data they produce. In particular they allow for the correction of two types of motion in cryo electron microscopy samples: motion correction...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854228/ https://www.ncbi.nlm.nih.gov/pubmed/27016144 http://dx.doi.org/10.1016/j.ymeth.2016.03.011 |
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author | Rawson, S. Iadanza, M.G. Ranson, N.A. Muench, S.P. |
author_facet | Rawson, S. Iadanza, M.G. Ranson, N.A. Muench, S.P. |
author_sort | Rawson, S. |
collection | PubMed |
description | Recent advances in direct electron detectors and improved CMOS cameras have been accompanied by the development of a range of software to take advantage of the data they produce. In particular they allow for the correction of two types of motion in cryo electron microscopy samples: motion correction for movements of the sample particles in the ice, and differential masking to account for heterogeneity caused by flexibility within protein complexes. Here we provide several scripts that allow users to move between RELION and standalone motion correction and centring programs. We then compare the computational cost and improvements in data quality with each program. We also describe our masking procedures to account for conformational flexibility. For the different elements of this study we have used three samples; a high symmetry virus, flexible protein complex (∼1 MDa) and a relatively small protein complex (∼550 kDa), to benchmark four widely available motion correction packages. Using these as test cases we demonstrate how motion correction and differential masking, as well as an additional particle re-centring protocol can improve final reconstructions when used within the RELION image-processing package. |
format | Online Article Text |
id | pubmed-4854228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48542282016-05-10 Methods to account for movement and flexibility in cryo-EM data processing Rawson, S. Iadanza, M.G. Ranson, N.A. Muench, S.P. Methods Article Recent advances in direct electron detectors and improved CMOS cameras have been accompanied by the development of a range of software to take advantage of the data they produce. In particular they allow for the correction of two types of motion in cryo electron microscopy samples: motion correction for movements of the sample particles in the ice, and differential masking to account for heterogeneity caused by flexibility within protein complexes. Here we provide several scripts that allow users to move between RELION and standalone motion correction and centring programs. We then compare the computational cost and improvements in data quality with each program. We also describe our masking procedures to account for conformational flexibility. For the different elements of this study we have used three samples; a high symmetry virus, flexible protein complex (∼1 MDa) and a relatively small protein complex (∼550 kDa), to benchmark four widely available motion correction packages. Using these as test cases we demonstrate how motion correction and differential masking, as well as an additional particle re-centring protocol can improve final reconstructions when used within the RELION image-processing package. Academic Press 2016-05-01 /pmc/articles/PMC4854228/ /pubmed/27016144 http://dx.doi.org/10.1016/j.ymeth.2016.03.011 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rawson, S. Iadanza, M.G. Ranson, N.A. Muench, S.P. Methods to account for movement and flexibility in cryo-EM data processing |
title | Methods to account for movement and flexibility in cryo-EM data processing |
title_full | Methods to account for movement and flexibility in cryo-EM data processing |
title_fullStr | Methods to account for movement and flexibility in cryo-EM data processing |
title_full_unstemmed | Methods to account for movement and flexibility in cryo-EM data processing |
title_short | Methods to account for movement and flexibility in cryo-EM data processing |
title_sort | methods to account for movement and flexibility in cryo-em data processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854228/ https://www.ncbi.nlm.nih.gov/pubmed/27016144 http://dx.doi.org/10.1016/j.ymeth.2016.03.011 |
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