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Title: TomoBank: a tomographic data repository for computational x-ray science

Abstract

There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology made sub-second and multi-energy tomographic data collection possible [1], but also increased the demand to develop new reconstruction methods able to handle in-situ [2] and dynamic systems [3] that can be quickly incorporated in beamline production software [4]. The X-ray Tomography Data Bank, tomoBank, provides a repository of experimental and simulated datasets with the aim to foster collaboration among computational scientists, beamline scientists, and experimentalists and to accelerate the development and implementation of tomographic reconstruction methods for synchrotron facility production software by providing easy access to challenging dataset and their descriptors.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2];  [3];  [4]; ORCiD logo [5];  [6];  [7]; ORCiD logo [8];  [9];  [10]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
  2. Oregon State Univ., Corvallis, OR (United States)
  3. Centrum Wiskunde & Informatica, Amsterdam, (Netherlands)
  4. European Synchrotron Radiation Facility (ESRF), Grenoble (France)
  5. Elettra-Sincrotrone Trieste, Basovizza (Italy)
  6. Paul Scherrer Inst. (PSI), Villigen (Switzerland). Swiss Light Source
  7. MAX IV Laboratory, Lund (Sweden)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  9. Univ. of Antwerp, Antwerp (Belgium). imec-Vision Lab.
  10. Univ. of Chicago, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); National Science Foundation (NSF)
OSTI Identifier:
1427546
Grant/Contract Number:  
AC02-06CH11357; FG02-94ER14466
Resource Type:
Accepted Manuscript
Journal Name:
Measurement Science and Technology
Additional Journal Information:
Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 0957-0233
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; tomography; tomographic data archive; tomographic data analysis; x-ray tomography

Citation Formats

De Carlo, Francesco, Gürsoy, Doğa, Ching, Daniel J., Batenburg, K. Joost, Ludwig, Wolfgang, Mancini, Lucia, Marone, Federica, Mokso, Rajmund, Pelt, Daniël M., Sijbers, Jan, and Rivers, Mark. TomoBank: a tomographic data repository for computational x-ray science. United States: N. p., 2018. Web. doi:10.1088/1361-6501/aa9c19.
De Carlo, Francesco, Gürsoy, Doğa, Ching, Daniel J., Batenburg, K. Joost, Ludwig, Wolfgang, Mancini, Lucia, Marone, Federica, Mokso, Rajmund, Pelt, Daniël M., Sijbers, Jan, & Rivers, Mark. TomoBank: a tomographic data repository for computational x-ray science. United States. doi:10.1088/1361-6501/aa9c19.
De Carlo, Francesco, Gürsoy, Doğa, Ching, Daniel J., Batenburg, K. Joost, Ludwig, Wolfgang, Mancini, Lucia, Marone, Federica, Mokso, Rajmund, Pelt, Daniël M., Sijbers, Jan, and Rivers, Mark. Thu . "TomoBank: a tomographic data repository for computational x-ray science". United States. doi:10.1088/1361-6501/aa9c19. https://www.osti.gov/servlets/purl/1427546.
@article{osti_1427546,
title = {TomoBank: a tomographic data repository for computational x-ray science},
author = {De Carlo, Francesco and Gürsoy, Doğa and Ching, Daniel J. and Batenburg, K. Joost and Ludwig, Wolfgang and Mancini, Lucia and Marone, Federica and Mokso, Rajmund and Pelt, Daniël M. and Sijbers, Jan and Rivers, Mark},
abstractNote = {There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology made sub-second and multi-energy tomographic data collection possible [1], but also increased the demand to develop new reconstruction methods able to handle in-situ [2] and dynamic systems [3] that can be quickly incorporated in beamline production software [4]. The X-ray Tomography Data Bank, tomoBank, provides a repository of experimental and simulated datasets with the aim to foster collaboration among computational scientists, beamline scientists, and experimentalists and to accelerate the development and implementation of tomographic reconstruction methods for synchrotron facility production software by providing easy access to challenging dataset and their descriptors.},
doi = {10.1088/1361-6501/aa9c19},
journal = {Measurement Science and Technology},
number = 3,
volume = 29,
place = {United States},
year = {2018},
month = {2}
}

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Cited by: 6 works
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Figures / Tables:

Table A1 Table A1: Datasets currently available in tomoBank

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