New methods for indexing multi-lattice diffraction data
- Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot OX11 0DE (United Kingdom)
- STFC Rutherford Appleton Laboratory, Didcot OX11 0QX (United Kingdom)
- University of Oxford, Oxford OX3 7BN (United Kingdom)
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States)
A new indexing method is presented which is capable of indexing multiple crystal lattices from narrow wedges of data. The efficacy of this method is demonstrated with both semi-synthetic multi-lattice data and real multi-lattice data recorded from microcrystals of ∼1 µm in size. 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.
- OSTI ID:
- 22347757
- Journal Information:
- Acta Crystallographica. Section D: Biological Crystallography, Vol. 70, Issue Pt 10; Other Information: PMCID: PMC4188007; PMID: 25286849; PUBLISHER-ID: kw5106; OAI: oai:pubmedcentral.nih.gov:4188007; Copyright (c) Gildea et al. 2014; 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.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0907-4449
- Country of Publication:
- Denmark
- Language:
- English
Semisynthetic Multi-Lattice Diffraction Data | dataset | January 2014 |
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