论文标题

Pyphase-用于X射线相成像的Python包装

PyPhase -- a Python package for X-ray phase imaging

论文作者

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

论文摘要

基于X射线传播的成像技术在同步辐射和实验室来源方面已建立了良好的发展。但是,大多数针对此类图像模式的重建算法,也称为相检索算法,是由专家专门为一种仪器和专家开发的,从而使使用此类技术的使用的开发和传播变得困难。在这里,我们提出了Pyphase,这是一个免费的开源包,用于基于繁殖的近场重建,该包由Cecill许可证分发。 Pyphase在高模型框架中实现了一些最受欢迎的回相算法,该算法支持大规模计算设施的部署。这使集成,新的回相算法的开发以及在不同计算基础架构上的部署直接。为了证明其功能和简单性,我们将其应用于在Synchrotron Max〜IV(瑞典Lund)上获取的数据中的应用。

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 spreading of the use of such techniques difficult. Here, we present PyPhase, a free and open-source package for propagation-based near-field phase reconstructions, which is distributed under the CeCILL license. PyPhase implements some of the most popular phase-retrieval algorithms in a highly-modular framework supporting the deployment on large-scale computing facilities. This makes the integration, the development of new phase-retrieval algorithms, and the deployment on different computing infrastructures straight-forward. To demonstrate its capabilities and simplicity, we present its application to data acquired at synchrotron MAX~IV (Lund, Sweden).

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