TomoPy: A framework for the analysis of synchrotron tomographic data

Doʇa Gürsoy, Francesco De Carlo*, Xianghui Xiao, Chris Jacobsen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationDevelopments in X-Ray Tomography IX
PublisherSPIE
Volume9212
ISBN (Electronic)9781628412390
DOIs
StatePublished - Jan 1 2014
EventDevelopments in X-Ray Tomography IX - San Diego, United States
Duration: Aug 18 2014Aug 20 2014

Other

OtherDevelopments in X-Ray Tomography IX
CountryUnited States
CitySan Diego
Period8/18/148/20/14

Keywords

  • Data analysis
  • Software
  • Tomography
  • TomoPy
  • X-ray imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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