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Proceedings Paper

TomoPy: A framework for the analysis of synchrotron tomographic data
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Paper Abstract

Analysis of large tomographic datasets at synchrotron light sources is becoming progressively more challenging due to the increasing data acquisition rates that new technologies in X-ray sources and detectors enable. The next generation of synchrotron facilities that are currently under design or construction throughout the world will provide diffraction limited X-ray sources and is expected to boost the current data rates by several orders of magnitude and stressing the need for the development and integration of efficient analysis tools more than ever. Here we describe in detail an attempt to provide such a collaborative framework for the analysis of synchrotron tomographic data that has the potential to unify the effort of different facilities and beamlines performing similar tasks. The proposed Python/C++ based framework is open-source, OS and data format independent, parallelizable and supports functional programming that many researchers prefer. This collaborative platform will affect all major synchrotron facilities where new effort is now dedicated into developing new tools that can be deployed at the facility for real time processing as well as distributed to users for off site data processing.

Paper Details

Date Published: 11 September 2014
PDF: 4 pages
Proc. SPIE 9212, Developments in X-Ray Tomography IX, 92120N (11 September 2014); doi: 10.1117/12.2061373
Show Author Affiliations
Doğa Gürsoy, Argonne National Lab. (United States)
Francesco De Carlo, Argonne National Lab. (United States)
Xianghui Xiao, Argonne National Lab. (United States)
Chris Jacobsen, Argonne National Lab. (United States)


Published in SPIE Proceedings Vol. 9212:
Developments in X-Ray Tomography IX
Stuart R. Stock, Editor(s)

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