@inproceedings{f3d792aff45142f0802cb2db0d3349ab,
title = "Practical implementations of speckle-based phase-retrieval methods in Python and GPU for tomography",
abstract = "X-ray phase-contrast tomography (X-PCT) techniques are capable of imaging samples with small differences in densities. They enable scientists to study biological or medical samples using high energy X-rays, which means less X-ray absorption and less sample damage, with high contrast quality. One branch of these techniques known as speckle-based methods have been well developed and demonstrated on real applications by different groups of developers using their own codes. However, there is lack of collective effort to package these methods into an open-source software which is easy-to-install, easy-to-use, well-documented, and optimized for speed. Such software is crucial to make the X-PCT techniques accessible to generic users and become regular tools. This report demonstrates the effort which implements speckle-based phase-retrieval methods in Python and GPU.",
keywords = "phase-contrast imaging, speckle tracking, tomography, X-ray speckle-based phase-contrast tomography",
author = "Vo, \{Nghia T.\} and Hongchang Wang and Lingfei Hu and Tunhe Zhou and Zdora, \{Marie Christine\} and Hans Deyhle and Atwood, \{Robert C.\} and Michael Drakopoulos",
note = "Funding Information: This work was carried out with the support of the Diamond Light Source. Data were collected using beamtime: NT27987, “Development of data processing pipeline for X-ray speckle-based phase contrast tomography”; EE20763, “Fast 3D multimodal imaging combining the speckle scanning technique with helical sample movement”; CM31131-1, “DIAD Commissioning Directory 2022”; and NT27144-1, “Super precision at-wavelength metrology and advancing X-ray imaging using speckle-based technique”. This research used resources of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility, operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704. The authors would like to thank Beverley Coldwell and Matthew Pankhurst for providing the basaltic rock. Publisher Copyright: {\textcopyright} The Authors. Published under a Creative Commons Attribution.; Developments in X-Ray Tomography 2022 ; Conference date: 22-08-2022 Through 24-08-2022",
year = "2022",
month = oct,
day = "14",
doi = "10.1117/12.2636834",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE - International Society for Optical Engineering",
editor = "Bert Muller and Ge Wang",
booktitle = "Developments in X-Ray Tomography XIV",
address = "United States of America",
}