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The complex analysis of X-ray mesh scans for macromolecular crystallography

In macromolecular crystallography, mesh (raster) scans are carried out either as part of X-ray-based crystal-centring routines or to identify positions on the sample holder from which diffraction images can be collected. Here, the methods used in MeshBest, software which automatically analyses diffr...

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Autores principales: Melnikov, Igor, Svensson, Olof, Bourenkov, Gleb, Leonard, Gordon, Popov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343787/
https://www.ncbi.nlm.nih.gov/pubmed/29652262
http://dx.doi.org/10.1107/S2059798318002735
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author Melnikov, Igor
Svensson, Olof
Bourenkov, Gleb
Leonard, Gordon
Popov, Alexander
author_facet Melnikov, Igor
Svensson, Olof
Bourenkov, Gleb
Leonard, Gordon
Popov, Alexander
author_sort Melnikov, Igor
collection PubMed
description In macromolecular crystallography, mesh (raster) scans are carried out either as part of X-ray-based crystal-centring routines or to identify positions on the sample holder from which diffraction images can be collected. Here, the methods used in MeshBest, software which automatically analyses diffraction images collected during a mesh scan and produces a two-dimensional crystal map showing estimates of the dimensions, centre positions and diffraction qualities of each crystal contained in the mesh area, are presented. Sample regions producing diffraction images resulting from the superposition of more than one crystal are also distinguished from regions with single-crystal diffraction. The applicability of the method is demonstrated using several cases.
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spelling pubmed-63437872019-02-01 The complex analysis of X-ray mesh scans for macromolecular crystallography Melnikov, Igor Svensson, Olof Bourenkov, Gleb Leonard, Gordon Popov, Alexander Acta Crystallogr D Struct Biol Research Papers In macromolecular crystallography, mesh (raster) scans are carried out either as part of X-ray-based crystal-centring routines or to identify positions on the sample holder from which diffraction images can be collected. Here, the methods used in MeshBest, software which automatically analyses diffraction images collected during a mesh scan and produces a two-dimensional crystal map showing estimates of the dimensions, centre positions and diffraction qualities of each crystal contained in the mesh area, are presented. Sample regions producing diffraction images resulting from the superposition of more than one crystal are also distinguished from regions with single-crystal diffraction. The applicability of the method is demonstrated using several cases. International Union of Crystallography 2018-04-06 /pmc/articles/PMC6343787/ /pubmed/29652262 http://dx.doi.org/10.1107/S2059798318002735 Text en © Melnikov et al. 2018 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Research Papers
Melnikov, Igor
Svensson, Olof
Bourenkov, Gleb
Leonard, Gordon
Popov, Alexander
The complex analysis of X-ray mesh scans for macromolecular crystallography
title The complex analysis of X-ray mesh scans for macromolecular crystallography
title_full The complex analysis of X-ray mesh scans for macromolecular crystallography
title_fullStr The complex analysis of X-ray mesh scans for macromolecular crystallography
title_full_unstemmed The complex analysis of X-ray mesh scans for macromolecular crystallography
title_short The complex analysis of X-ray mesh scans for macromolecular crystallography
title_sort complex analysis of x-ray mesh scans for macromolecular crystallography
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343787/
https://www.ncbi.nlm.nih.gov/pubmed/29652262
http://dx.doi.org/10.1107/S2059798318002735
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