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SPIND-TC: an indexing method for two-color X-ray diffraction data

Recent developments of two-color operation modes at X-ray free-electron laser facilities provide new research opportunities, such as X-ray pump/X-ray probe experiments and multiple-wavelength anomalous dispersion phasing methods. However, most existing indexing methods were developed for indexing di...

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Detalles Bibliográficos
Autores principales: Li, Xuanxuan, Li, Chufeng, Liu, Haiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233013/
https://www.ncbi.nlm.nih.gov/pubmed/32356787
http://dx.doi.org/10.1107/S2053273320001916
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author Li, Xuanxuan
Li, Chufeng
Liu, Haiguang
author_facet Li, Xuanxuan
Li, Chufeng
Liu, Haiguang
author_sort Li, Xuanxuan
collection PubMed
description Recent developments of two-color operation modes at X-ray free-electron laser facilities provide new research opportunities, such as X-ray pump/X-ray probe experiments and multiple-wavelength anomalous dispersion phasing methods. However, most existing indexing methods were developed for indexing diffraction data from monochromatic X-ray beams. Here, a new algorithm is presented for indexing two-color diffraction data, as an extension of the sparse-pattern indexing algorithm SPIND, which has been demonstrated to be capable of indexing diffraction patterns with as few as five peaks. The principle and implementation of the two-color indexing method, SPIND-TC, are reported in this paper. The algorithm was tested on both simulated and experimental data of protein crystals. The results show that the diffraction data can be accurately indexed in both cases. Source codes are publicly available at https://github.com/lixx11/SPIND-TC.
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spelling pubmed-72330132020-06-09 SPIND-TC: an indexing method for two-color X-ray diffraction data Li, Xuanxuan Li, Chufeng Liu, Haiguang Acta Crystallogr A Found Adv Research Papers Recent developments of two-color operation modes at X-ray free-electron laser facilities provide new research opportunities, such as X-ray pump/X-ray probe experiments and multiple-wavelength anomalous dispersion phasing methods. However, most existing indexing methods were developed for indexing diffraction data from monochromatic X-ray beams. Here, a new algorithm is presented for indexing two-color diffraction data, as an extension of the sparse-pattern indexing algorithm SPIND, which has been demonstrated to be capable of indexing diffraction patterns with as few as five peaks. The principle and implementation of the two-color indexing method, SPIND-TC, are reported in this paper. The algorithm was tested on both simulated and experimental data of protein crystals. The results show that the diffraction data can be accurately indexed in both cases. Source codes are publicly available at https://github.com/lixx11/SPIND-TC. International Union of Crystallography 2020-04-02 /pmc/articles/PMC7233013/ /pubmed/32356787 http://dx.doi.org/10.1107/S2053273320001916 Text en © Xuanxuan Li et al. 2020 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
Li, Xuanxuan
Li, Chufeng
Liu, Haiguang
SPIND-TC: an indexing method for two-color X-ray diffraction data
title SPIND-TC: an indexing method for two-color X-ray diffraction data
title_full SPIND-TC: an indexing method for two-color X-ray diffraction data
title_fullStr SPIND-TC: an indexing method for two-color X-ray diffraction data
title_full_unstemmed SPIND-TC: an indexing method for two-color X-ray diffraction data
title_short SPIND-TC: an indexing method for two-color X-ray diffraction data
title_sort spind-tc: an indexing method for two-color x-ray diffraction data
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233013/
https://www.ncbi.nlm.nih.gov/pubmed/32356787
http://dx.doi.org/10.1107/S2053273320001916
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