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New methods for indexing multi-lattice diffraction data

A new indexing method is presented which is capable of indexing multiple crystal lattices from narrow wedges of diffraction data. The method takes advantage of a simplification of Fourier transform-based methods that is applicable when the unit-cell dimensions are known a priori. The efficacy of thi...

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Autores principales: Gildea, Richard J., Waterman, David G., Parkhurst, James M., Axford, Danny, Sutton, Geoff, Stuart, David I., Sauter, Nicholas K., Evans, Gwyndaf, Winter, Graeme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188007/
https://www.ncbi.nlm.nih.gov/pubmed/25286849
http://dx.doi.org/10.1107/S1399004714017039
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author Gildea, Richard J.
Waterman, David G.
Parkhurst, James M.
Axford, Danny
Sutton, Geoff
Stuart, David I.
Sauter, Nicholas K.
Evans, Gwyndaf
Winter, Graeme
author_facet Gildea, Richard J.
Waterman, David G.
Parkhurst, James M.
Axford, Danny
Sutton, Geoff
Stuart, David I.
Sauter, Nicholas K.
Evans, Gwyndaf
Winter, Graeme
author_sort Gildea, Richard J.
collection PubMed
description A new indexing method is presented which is capable of indexing multiple crystal lattices from narrow wedges of diffraction data. The method takes advantage of a simplification of Fourier transform-based methods that is applicable when the unit-cell dimensions are known a priori. The efficacy of this method is demonstrated with both semi-synthetic multi-lattice data and real multi-lattice data recorded from crystals of ∼1 µm in size, where it is shown that up to six lattices can be successfully indexed and subsequently integrated from a 1° wedge of data. Analysis is presented which shows that improvements in data-quality indicators can be obtained through accurate identification and rejection of overlapping reflections prior to scaling.
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spelling pubmed-41880072014-10-24 New methods for indexing multi-lattice diffraction data Gildea, Richard J. Waterman, David G. Parkhurst, James M. Axford, Danny Sutton, Geoff Stuart, David I. Sauter, Nicholas K. Evans, Gwyndaf Winter, Graeme Acta Crystallogr D Biol Crystallogr Research Papers A new indexing method is presented which is capable of indexing multiple crystal lattices from narrow wedges of diffraction data. The method takes advantage of a simplification of Fourier transform-based methods that is applicable when the unit-cell dimensions are known a priori. The efficacy of this method is demonstrated with both semi-synthetic multi-lattice data and real multi-lattice data recorded from crystals of ∼1 µm in size, where it is shown that up to six lattices can be successfully indexed and subsequently integrated from a 1° wedge of data. Analysis is presented which shows that improvements in data-quality indicators can be obtained through accurate identification and rejection of overlapping reflections prior to scaling. International Union of Crystallography 2014-09-27 /pmc/articles/PMC4188007/ /pubmed/25286849 http://dx.doi.org/10.1107/S1399004714017039 Text en © Gildea et al. 2014 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
Gildea, Richard J.
Waterman, David G.
Parkhurst, James M.
Axford, Danny
Sutton, Geoff
Stuart, David I.
Sauter, Nicholas K.
Evans, Gwyndaf
Winter, Graeme
New methods for indexing multi-lattice diffraction data
title New methods for indexing multi-lattice diffraction data
title_full New methods for indexing multi-lattice diffraction data
title_fullStr New methods for indexing multi-lattice diffraction data
title_full_unstemmed New methods for indexing multi-lattice diffraction data
title_short New methods for indexing multi-lattice diffraction data
title_sort new methods for indexing multi-lattice diffraction data
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188007/
https://www.ncbi.nlm.nih.gov/pubmed/25286849
http://dx.doi.org/10.1107/S1399004714017039
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