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

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

doi:10.1088/1361-6501/aa9c19

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

Journal Article · Thu Feb 08 00:00:00 UTC 2018 · Measurement Science and Technology

DOI:https://doi.org/10.1088/1361-6501/aa9c19· OSTI ID:1427546

^[1]; Gürsoy, Doğa ^[1]; ^[2]; Batenburg, K. Joost ^[3]; Ludwig, Wolfgang ^[4]; ^[5]; Marone, Federica ^[6]; Mokso, Rajmund ^[7]; ^[8]; Sijbers, Jan ^[9]; Rivers, Mark ^[10]

Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
Oregon State Univ., Corvallis, OR (United States)
Centrum Wiskunde & Informatica, Amsterdam, (Netherlands)
European Synchrotron Radiation Facility (ESRF), Grenoble (France)
Elettra-Sincrotrone Trieste, Basovizza (Italy)
Paul Scherrer Inst. (PSI), Villigen (Switzerland). Swiss Light Source
MAX IV Laboratory, Lund (Sweden)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Univ. of Antwerp, Antwerp (Belgium). imec-Vision Lab.
Univ. of Chicago, IL (United States)

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.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

Grant/Contract Number:: AC02-06CH11357; FG02-94ER14466

OSTI ID:: 1427546

Alternate ID(s):: OSTI ID: 22881019

Journal Information:: Measurement Science and Technology, Journal Name: Measurement Science and Technology Journal Issue: 3 Vol. 29; ISSN 0957-0233

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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