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14 October 2022 Practical implementations of speckle-based phase-retrieval methods in Python and GPU for tomography
Nghia T. Vo, Hongchang Wang, Lingfei Hu, Tunhe Zhou, Marie-Christine Zdora, Hans Deyhle, Robert C. Atwood, Michael Drakopoulos
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Proceedings Volume 12242, Developments in X-Ray Tomography XIV; 122420E (2022) https://doi.org/10.1117/12.2636834
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States
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.
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Nghia T. Vo, Hongchang Wang, Lingfei Hu, Tunhe Zhou, Marie-Christine Zdora, Hans Deyhle, Robert C. Atwood, and Michael Drakopoulos "Practical implementations of speckle-based phase-retrieval methods in Python and GPU for tomography", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122420E (14 October 2022); https://doi.org/10.1117/12.2636834
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KEYWORDS
Tomography
X-ray imaging
Image processing
Open source software
Phase contrast
Speckle analysis
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