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Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF

The development of automated high-intensity macromolecular crystallography (MX) beamlines at synchrotron facilities has resulted in a remarkable increase in sample throughput. Developments in X-ray detector technology now mean that complete X-ray diffraction datasets can be collected in less than on...

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Autores principales: Monaco, Stéphanie, Gordon, Elspeth, Bowler, Matthew W., Delagenière, Solange, Guijarro, Matias, Spruce, Darren, Svensson, Olof, McSweeney, Sean M., McCarthy, Andrew A., Leonard, Gordon, Nanao, Max H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654316/
https://www.ncbi.nlm.nih.gov/pubmed/23682196
http://dx.doi.org/10.1107/S0021889813006195
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author Monaco, Stéphanie
Gordon, Elspeth
Bowler, Matthew W.
Delagenière, Solange
Guijarro, Matias
Spruce, Darren
Svensson, Olof
McSweeney, Sean M.
McCarthy, Andrew A.
Leonard, Gordon
Nanao, Max H.
author_facet Monaco, Stéphanie
Gordon, Elspeth
Bowler, Matthew W.
Delagenière, Solange
Guijarro, Matias
Spruce, Darren
Svensson, Olof
McSweeney, Sean M.
McCarthy, Andrew A.
Leonard, Gordon
Nanao, Max H.
author_sort Monaco, Stéphanie
collection PubMed
description The development of automated high-intensity macromolecular crystallography (MX) beamlines at synchrotron facilities has resulted in a remarkable increase in sample throughput. Developments in X-ray detector technology now mean that complete X-ray diffraction datasets can be collected in less than one minute. Such high-speed collection, and the volumes of data that it produces, often make it difficult for even the most experienced users to cope with the deluge. However, the careful reduction of data during experimental sessions is often necessary for the success of a particular project or as an aid in decision making for subsequent experiments. Automated data reduction pipelines provide a fast and reliable alternative to user-initiated processing at the beamline. In order to provide such a pipeline for the MX user community of the European Synchrotron Radiation Facility (ESRF), a system for the rapid automatic processing of MX diffraction data from single and multiple positions on a single or multiple crystals has been developed. Standard integration and data analysis programs have been incorporated into the ESRF data collection, storage and computing environment, with the final results stored and displayed in an intuitive manner in the ISPyB (information system for protein crystallography beamlines) database, from which they are also available for download. In some cases, experimental phase information can be automatically determined from the processed data. Here, the system is described in detail.
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spelling pubmed-36543162013-05-16 Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF Monaco, Stéphanie Gordon, Elspeth Bowler, Matthew W. Delagenière, Solange Guijarro, Matias Spruce, Darren Svensson, Olof McSweeney, Sean M. McCarthy, Andrew A. Leonard, Gordon Nanao, Max H. J Appl Crystallogr Computer Programs The development of automated high-intensity macromolecular crystallography (MX) beamlines at synchrotron facilities has resulted in a remarkable increase in sample throughput. Developments in X-ray detector technology now mean that complete X-ray diffraction datasets can be collected in less than one minute. Such high-speed collection, and the volumes of data that it produces, often make it difficult for even the most experienced users to cope with the deluge. However, the careful reduction of data during experimental sessions is often necessary for the success of a particular project or as an aid in decision making for subsequent experiments. Automated data reduction pipelines provide a fast and reliable alternative to user-initiated processing at the beamline. In order to provide such a pipeline for the MX user community of the European Synchrotron Radiation Facility (ESRF), a system for the rapid automatic processing of MX diffraction data from single and multiple positions on a single or multiple crystals has been developed. Standard integration and data analysis programs have been incorporated into the ESRF data collection, storage and computing environment, with the final results stored and displayed in an intuitive manner in the ISPyB (information system for protein crystallography beamlines) database, from which they are also available for download. In some cases, experimental phase information can be automatically determined from the processed data. Here, the system is described in detail. International Union of Crystallography 2013-06-01 2013-05-15 /pmc/articles/PMC3654316/ /pubmed/23682196 http://dx.doi.org/10.1107/S0021889813006195 Text en © Stéphanie Monaco et al. 2013 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 Computer Programs
Monaco, Stéphanie
Gordon, Elspeth
Bowler, Matthew W.
Delagenière, Solange
Guijarro, Matias
Spruce, Darren
Svensson, Olof
McSweeney, Sean M.
McCarthy, Andrew A.
Leonard, Gordon
Nanao, Max H.
Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title_full Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title_fullStr Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title_full_unstemmed Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title_short Automatic processing of macromolecular crystallography X-ray diffraction data at the ESRF
title_sort automatic processing of macromolecular crystallography x-ray diffraction data at the esrf
topic Computer Programs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654316/
https://www.ncbi.nlm.nih.gov/pubmed/23682196
http://dx.doi.org/10.1107/S0021889813006195
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