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Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641557/ https://www.ncbi.nlm.nih.gov/pubmed/36345750 http://dx.doi.org/10.1107/S1600577522008232 |
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author | Jensen, Alexander Bernthz Christensen, Thorbjørn Erik Køppen Weninger, Clemens Birkedal, Henrik |
author_facet | Jensen, Alexander Bernthz Christensen, Thorbjørn Erik Køppen Weninger, Clemens Birkedal, Henrik |
author_sort | Jensen, Alexander Bernthz |
collection | PubMed |
description | As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate diffractograms in real time on modern laptops and can reach 10 kHz integration speeds on modern workstations using an efficient pixel-splitting and parallelization scheme. This algorithm is limited not by the computation of the integration itself but is rather bottlenecked by the speed of the data transfer to the processor, the data decompression and/or the saving of results. The algorithm and its implementation is described while the performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone. |
format | Online Article Text |
id | pubmed-9641557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-96415572022-11-14 Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA Jensen, Alexander Bernthz Christensen, Thorbjørn Erik Køppen Weninger, Clemens Birkedal, Henrik J Synchrotron Radiat Research Papers As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate diffractograms in real time on modern laptops and can reach 10 kHz integration speeds on modern workstations using an efficient pixel-splitting and parallelization scheme. This algorithm is limited not by the computation of the integration itself but is rather bottlenecked by the speed of the data transfer to the processor, the data decompression and/or the saving of results. The algorithm and its implementation is described while the performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone. International Union of Crystallography 2022-10-04 /pmc/articles/PMC9641557/ /pubmed/36345750 http://dx.doi.org/10.1107/S1600577522008232 Text en © Alexander Bernthz Jensen et al. 2022 https://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. |
spellingShingle | Research Papers Jensen, Alexander Bernthz Christensen, Thorbjørn Erik Køppen Weninger, Clemens Birkedal, Henrik Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA |
title | Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
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title_full | Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
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title_fullStr | Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
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title_full_unstemmed | Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
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title_short | Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
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title_sort | very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: matfraia |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641557/ https://www.ncbi.nlm.nih.gov/pubmed/36345750 http://dx.doi.org/10.1107/S1600577522008232 |
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