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Related Experiment Video

Updated: Mar 6, 2026

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SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows.

Francesco Brun1,2,3, Lorenzo Massimi1, Michela Fratini1,4

  • 1National Research Council-Institute of Nanotechnology (CNR-Nanotec), c/o University La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy.

Advanced Structural and Chemical Imaging
|March 7, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces SYRMEP Tomo Project (STP), an open-source software for designing custom computed tomography (CT) reconstruction workflows. STP enables users to improve X-ray CT data quality post-experiment, even with limited computing resources.

Keywords:
Artifacts compensationImage processingPhase retrievalPhase-contrast computed tomographyTomographic reconstruction

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Area of Science:

  • * Physics
  • * Materials Science
  • * Image Processing

Background:

  • * Experimental synchrotron radiation (SR) X-ray CT data reconstruction often requires advanced image processing beyond basic flat fielding and filtered back projection (FBP).
  • * Optimizing reconstruction workflows during experimental beamtime is challenging due to practical limitations, frequently resulting in sub-optimal reconstructed images.
  • * Post-acquisition processing is essential for artifact compensation and enhancing the quality of SR X-ray CT data.

Purpose of the Study:

  • * To present SYRMEP Tomo Project (STP), an open-source software tool for designing custom CT reconstruction workflows.
  • * To provide users with a flexible platform for off-line image reconstruction and refinement of archived SR X-ray CT data.
  • * To enable users to improve the quality of their reconstructed images using readily available computing resources.

Main Methods:

  • * Development of an open-source software tool, SYRMEP Tomo Project (STP), with a graphical user interface (GUI).
  • * Facilitation of custom workflow design for SR X-ray CT data reconstruction.
  • * Application of the software for post-beamtime data processing and reconstruction of archived datasets.

Main Results:

  • * STP allows users to design and implement tailored reconstruction workflows for SR X-ray CT data.
  • * The software supports off-line processing, enabling users to refine images after experimental beamtime.
  • * Users can achieve enhanced image quality using standard computing hardware.

Conclusions:

  • * SYRMEP Tomo Project (STP) offers a valuable solution for improving SR X-ray CT data quality through customizable reconstruction workflows.
  • * The open-source nature and off-line functionality of STP make advanced image processing accessible to researchers.
  • * STP empowers users to reprocess past data and optimize future experimental outcomes.