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Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest
Complex dynamic tomographic experiments at brilliant X-ray light sources require real-time feedback on the sample changes with respect to environmental conditions, selecting representative regions of interest for high-resolution scanning, and on-demand data saving mechanisms for storing only relevan...
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/PMC9070713/ https://www.ncbi.nlm.nih.gov/pubmed/35511014 http://dx.doi.org/10.1107/S1600577522003095 |
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author | Nikitin, Viktor Tekawade, Aniket Duchkov, Anton Shevchenko, Pavel De Carlo, Francesco |
author_facet | Nikitin, Viktor Tekawade, Aniket Duchkov, Anton Shevchenko, Pavel De Carlo, Francesco |
author_sort | Nikitin, Viktor |
collection | PubMed |
description | Complex dynamic tomographic experiments at brilliant X-ray light sources require real-time feedback on the sample changes with respect to environmental conditions, selecting representative regions of interest for high-resolution scanning, and on-demand data saving mechanisms for storing only relevant projections acquired by fast area detectors and reducing data volumes. Here the implementation details of a 3D real-time imaging monitoring instrument, with zooming to a volume of interest with easy-to-use visualization via ImageJ, a tool familiar to most beamline users, is presented. The instrument relies on optimized data flow between the detector and processing machines and is implemented on commodity computers. The instrument has been developed at beamline 2-BM of the Advanced Photon Source, where the automatic lens changing mechanism for zooming is implemented with an Optique Peter microscope. Performance tests demonstrate the ability to process more than 3 GB of projection data per second and generate real-time 3D zooming with different magnification. These new capabilities are essential for new APS Upgrade instruments such as the projection microscope under development at beamline 32-ID. The efficacy of the proposed instrument was demonstrated during an in situ tomographic experiment on ice and gas hydrate formation in porous samples. |
format | Online Article Text |
id | pubmed-9070713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-90707132022-05-10 Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest Nikitin, Viktor Tekawade, Aniket Duchkov, Anton Shevchenko, Pavel De Carlo, Francesco J Synchrotron Radiat Research Papers Complex dynamic tomographic experiments at brilliant X-ray light sources require real-time feedback on the sample changes with respect to environmental conditions, selecting representative regions of interest for high-resolution scanning, and on-demand data saving mechanisms for storing only relevant projections acquired by fast area detectors and reducing data volumes. Here the implementation details of a 3D real-time imaging monitoring instrument, with zooming to a volume of interest with easy-to-use visualization via ImageJ, a tool familiar to most beamline users, is presented. The instrument relies on optimized data flow between the detector and processing machines and is implemented on commodity computers. The instrument has been developed at beamline 2-BM of the Advanced Photon Source, where the automatic lens changing mechanism for zooming is implemented with an Optique Peter microscope. Performance tests demonstrate the ability to process more than 3 GB of projection data per second and generate real-time 3D zooming with different magnification. These new capabilities are essential for new APS Upgrade instruments such as the projection microscope under development at beamline 32-ID. The efficacy of the proposed instrument was demonstrated during an in situ tomographic experiment on ice and gas hydrate formation in porous samples. International Union of Crystallography 2022-04-20 /pmc/articles/PMC9070713/ /pubmed/35511014 http://dx.doi.org/10.1107/S1600577522003095 Text en © Viktor Nikitin 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 Nikitin, Viktor Tekawade, Aniket Duchkov, Anton Shevchenko, Pavel De Carlo, Francesco Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title | Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title_full | Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title_fullStr | Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title_full_unstemmed | Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title_short | Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest |
title_sort | real-time streaming tomographic reconstruction with on-demand data capturing and 3d zooming to regions of interest |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070713/ https://www.ncbi.nlm.nih.gov/pubmed/35511014 http://dx.doi.org/10.1107/S1600577522003095 |
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