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Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest. / Nikitin, Viktor; Tekawade, Aniket; Duchkov, Anton et al.

In: Journal of Synchrotron Radiation, Vol. 29, 01.05.2022, p. 816-828.

Research output: Contribution to journalArticlepeer-review

Harvard

Nikitin, V, Tekawade, A, Duchkov, A, Shevchenko, P & De Carlo, F 2022, 'Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest', Journal of Synchrotron Radiation, vol. 29, pp. 816-828. https://doi.org/10.1107/S1600577522003095

APA

Nikitin, V., Tekawade, A., Duchkov, A., Shevchenko, P., & De Carlo, F. (2022). Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest. Journal of Synchrotron Radiation, 29, 816-828. https://doi.org/10.1107/S1600577522003095

Vancouver

Nikitin V, Tekawade A, Duchkov A, Shevchenko P, De Carlo F. Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest. Journal of Synchrotron Radiation. 2022 May 1;29:816-828. doi: 10.1107/S1600577522003095

Author

Nikitin, Viktor ; Tekawade, Aniket ; Duchkov, Anton et al. / Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest. In: Journal of Synchrotron Radiation. 2022 ; Vol. 29. pp. 816-828.

BibTeX

@article{0f9d3145eb5a4c4c9fbfeddd6a35be1a,
title = "Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest",
abstract = "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.",
keywords = "3D zooming, micro-tomography, multi-scale tomography, real-time reconstruction, streaming imaging",
author = "Viktor Nikitin and Aniket Tekawade and Anton Duchkov and Pavel Shevchenko and {De Carlo}, Francesco",
note = "Funding Information: Funding for this research was provided by: Argonne National Laboratory (contract No. DE-AC02-06CH11357); Russian Science Foundation (grant No. FWZZ-2022-0017). Publisher Copyright: {\textcopyright} 2022 International Union of Crystallography. All rights reserved.",
year = "2022",
month = may,
day = "1",
doi = "10.1107/S1600577522003095",
language = "English",
volume = "29",
pages = "816--828",
journal = "Journal of Synchrotron Radiation",
issn = "0909-0495",
publisher = "International Union of Crystallography",

}

RIS

TY - JOUR

T1 - Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest

AU - Nikitin, Viktor

AU - Tekawade, Aniket

AU - Duchkov, Anton

AU - Shevchenko, Pavel

AU - De Carlo, Francesco

N1 - Funding Information: Funding for this research was provided by: Argonne National Laboratory (contract No. DE-AC02-06CH11357); Russian Science Foundation (grant No. FWZZ-2022-0017). Publisher Copyright: © 2022 International Union of Crystallography. All rights reserved.

PY - 2022/5/1

Y1 - 2022/5/1

N2 - 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.

AB - 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.

KW - 3D zooming

KW - micro-tomography

KW - multi-scale tomography

KW - real-time reconstruction

KW - streaming imaging

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U2 - 10.1107/S1600577522003095

DO - 10.1107/S1600577522003095

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VL - 29

SP - 816

EP - 828

JO - Journal of Synchrotron Radiation

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ER -

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