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Advanced X-Ray Tomography: Experiment, Modeling, and Algorithms
Description and Aim
In recent years, the advanced X-ray tomography community has made significant progress in the spatial and temporal resolution that can be obtained using the various types of X-ray image formation, making X-ray tomography a principal tool in the advancement of materials science, biology and medicine, as well as an inspection technique with a wide range of industrial applications.
Besides the experimental part, the accuracy of the resulting images depends crucially on the algorithms that are employed when processing and reconstructing the data. As the experiments increase in complexity, advanced algorithms are needed to achieve new breakthroughs in the field.
This Lorentz-Workshop aims to bring together active researchers from both communities, combining an updated view on the state-of-the-art in the respective fields with focused discussions on the topics of in-vivo phase contrast imaging, space-time regularization in 4D tomography, and self-absorption in fluorescence tomography. The participants will setup a roadmap for a joint research effort that combines state-of-the-art X-ray imaging abilities with tailored algorithm development for these techniques.