The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Pablo Villanueva Perez

Senior lecturer

Default user image.

PyPhase - A Python package for X-ray phase imaging

Author

  • Max Langer
  • Yuhe Zhang
  • Diogo Figueirinhas
  • Jean Baptiste Forien
  • Kannara Mom
  • Claire Mouton
  • Rajmund Mokso
  • Pablo Villanueva-Perez

Summary, in English

X-ray propagation-based imaging techniques are well established at synchrotron radiation and laboratory sources. However, most reconstruction algorithms for such image modalities, also known as phase-retrieval algorithms, have been developed specifically for one instrument by and for experts, making the development and diffusion of such techniques difficult. Here, PyPhase, a free and open-source package for propagation-based near-field phase reconstructions, which is distributed under the CeCILL license, is presented. PyPhase implements some of the most popular phase-retrieval algorithms in a highly modular framework supporting its deployment on large-scale computing facilities. This makes the integration, the development of new phase-retrieval algorithms, and the deployment on different computing infrastructures straightforward. Its capabilities and simplicity are presented by application to data acquired at the synchrotron source MAX IV (Lund, Sweden).

Department/s

  • Synchrotron Radiation Research
  • NanoLund: Centre for Nanoscience
  • Packaging Logistics
  • MAX IV Laboratory
  • Solid Mechanics
  • eSSENCE: The e-Science Collaboration

Publishing year

2021

Language

English

Pages

1261-1266

Publication/Series

Journal of Synchrotron Radiation

Volume

28

Document type

Journal article

Publisher

International Union of Crystallography

Topic

  • Probability Theory and Statistics

Keywords

  • Holography
  • Phase contrast
  • Phase retrieval
  • Tomography
  • X-ray imaging

Status

Published

ISBN/ISSN/Other

  • ISSN: 0909-0495