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Artificial Intelligence applied to X-ray / synchrotron techniques


Artificial intelligence is an emerging tool that is becoming ubiquitous in X-ray and synchrotron facilities. Mindful of its importance and as part of the upgrade of French CRG beamlines at ESRF, we also wish to discuss how these tools can be useful for us and for the community of scientists working on X-rays or synchrotron techniques. Therefore, we will start a series of webinars (online seminars) dedicated to applications of artificial intelligence (machine and deep learning) to techniques based on x-rays and synchrotrons. The first webinar of this series will be:


XLearn: A Deep Learning Toolkit for a Synchrotron X-ray Facility

Xiaogang Yang (DESY, Germany)

February 25 at 2:00 pm (CET)

Xlearn toolbox is an open-source software of deep learning algorithms for multiple synchrotron X-ray imaging problems. It includes three fundamental functions of deep neural networks for image process: image classification, image transformation, and inverse solver. I developed these basic functions for tomographic rotation axis calibration, low-dose tomography enhancement, super-resolution X-ray microscopy, X-ray image segmentation, missing angle tomography reconstruction, and phase retrieval. I will present the basic applications of the toolbox. I will also demonstrate hands-on examples of using this toolbox for image segmentation.

The link to connect to the webinar will be sent by e-mail. To receive it, please register for free by clicking here:



For more information about upcoming webinars on this series, please click here.