Real‐time image‐content‐based beamline control for smart 4D X‐ray imaging |
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| Authors: | Matthias Vogelgesang Tomas Farago Thilo F. Morgeneyer Lukas Helfen Tomy dos Santos Rolo Anton Myagotin Tilo Baumbach |
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| Affiliation: | 1. Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 2. Eggenstein-Leopoldshafen, Germany;3. Institute for Photon Science and Synchrotron Radiation, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344Eggenstein-Leopoldshafen, Germany;4. Laboratory for Applications of Synchrotron Radiation, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344Eggenstein-Leopoldshafen, Germany;5. MINES ParisTech, PSL Research University, MAT – Centre des Materiaux, CNRS UMR 7633, BP 87, 91003Evry, France;6. ESRF – The European Synchrotron, 71 avenue des Martyrs, 38000Grenoble, France;7. Institute for Accelerator Physics and Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344Eggenstein-Leopoldshafen, Germany;8. St Petersburg State University of Civil Aviation, St Petersburg, Russia |
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| Abstract: | Real‐time processing of X‐ray image data acquired at synchrotron radiation facilities allows for smart high‐speed experiments. This includes workflows covering parameterized and image‐based feedback‐driven control up to the final storage of raw and processed data. Nevertheless, there is presently no system that supports an efficient construction of such experiment workflows in a scalable way. Thus, here an architecture based on a high‐level control system that manages low‐level data acquisition, data processing and device changes is described. This system is suitable for routine as well as prototypical experiments, and provides specialized building blocks to conduct four‐dimensional in situ, in vivo and operando tomography and laminography. |
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| Keywords: | control tomography laminography |
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