PyPhase – a Python package for X‐ray phase imaging

• Published in: Journal of synchrotron radiation Vol. 28; no. 4; pp. 1261 - 1266
• Main Authors: Langer, Max, Zhang, Yuhe, Figueirinhas, Diogo, Forien, Jean-Baptiste, Mom, Kannara, Mouton, Claire, Mokso, Rajmund, Villanueva-Perez, Pablo
• Format: Journal Article
• Language: English
• Published: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.07.2021; John Wiley & Sons, Inc
• Subjects: Algorithms; Computation; Computer Programs; Data acquisition; Engineering Sciences; holography; Image reconstruction; Imaging techniques; Matematik; MATERIALS SCIENCE; Mathematical Sciences; Medical Physics; Meteorological satellites; Natural Sciences; Naturvetenskap; Optics; phase contrast; phase retrieval; Physics; Probability Theory and Statistics; Propagation; Retrieval; Sannolikhetsteori och statistik; Signal and Image processing; Synchrotron radiation; Synchrotrons; tomography; X‐ray imaging
• ISSN: 1600-5775; 0909-0495; 1600-5775
• DOI: 10.1107/S1600577521004951

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). PyPhase is a free and open‐source Python package for propagation‐based near‐field phase reconstructions, which implements some of the most popular phase‐retrieval algorithms in a highly modular framework supporting the deployment on large‐scale computing facilities. This makes integration, development of new phase‐retrieval algorithms, and the deployment on different computing infrastructures straightforward.