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Robust indexing for automatic data collection
Improved methods for indexing diffraction patterns from macromolecular crystals are presented. The novel procedures include a more robust way to verify the position of the incident X-ray beam on the detector, an algorithm to verify that the deduced lattice basis is consistent with the observations,...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808709/ https://www.ncbi.nlm.nih.gov/pubmed/20090869 http://dx.doi.org/10.1107/S0021889804005874 |
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author | Sauter, Nicholas K. Grosse-Kunstleve, Ralf W. Adams, Paul D. |
author_facet | Sauter, Nicholas K. Grosse-Kunstleve, Ralf W. Adams, Paul D. |
author_sort | Sauter, Nicholas K. |
collection | PubMed |
description | Improved methods for indexing diffraction patterns from macromolecular crystals are presented. The novel procedures include a more robust way to verify the position of the incident X-ray beam on the detector, an algorithm to verify that the deduced lattice basis is consistent with the observations, and an alternative approach to identify the metric symmetry of the lattice. These methods help to correct failures commonly experienced during indexing, and increase the overall success rate of the process. Rapid indexing, without the need for visual inspection, will play an important role as beamlines at synchrotron sources prepare for high-throughput automation. |
format | Text |
id | pubmed-2808709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-28087092010-01-20 Robust indexing for automatic data collection Sauter, Nicholas K. Grosse-Kunstleve, Ralf W. Adams, Paul D. J Appl Crystallogr Research Papers Improved methods for indexing diffraction patterns from macromolecular crystals are presented. The novel procedures include a more robust way to verify the position of the incident X-ray beam on the detector, an algorithm to verify that the deduced lattice basis is consistent with the observations, and an alternative approach to identify the metric symmetry of the lattice. These methods help to correct failures commonly experienced during indexing, and increase the overall success rate of the process. Rapid indexing, without the need for visual inspection, will play an important role as beamlines at synchrotron sources prepare for high-throughput automation. International Union of Crystallography 2004-06-01 2004-05-11 /pmc/articles/PMC2808709/ /pubmed/20090869 http://dx.doi.org/10.1107/S0021889804005874 Text en © Nicholas K. Sauter et al. 2004 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Sauter, Nicholas K. Grosse-Kunstleve, Ralf W. Adams, Paul D. Robust indexing for automatic data collection |
title | Robust indexing for automatic data collection |
title_full | Robust indexing for automatic data collection |
title_fullStr | Robust indexing for automatic data collection |
title_full_unstemmed | Robust indexing for automatic data collection |
title_short | Robust indexing for automatic data collection |
title_sort | robust indexing for automatic data collection |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808709/ https://www.ncbi.nlm.nih.gov/pubmed/20090869 http://dx.doi.org/10.1107/S0021889804005874 |
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