Presentation
28 September 2023 Artificial intelligence for synchrotron-radiation tomography
Author Affiliations +
Abstract
The Helmholtz-Zentrum Hereon is operating imaging beamlines for X-ray tomography (P05 IBL, P07 HEMS) for academic and industrial users at the synchrotron radiation source PETRA III at DESY in Hamburg, Germany. The high X-ray flux density and coherence of synchrotron radiation enables high-resolution in situ/operando/vivo tomography experiments and provides phase contrast, respectively. Large amounts of 3D/4D data are collected that are difficult to process and analyze. Here, we report on the application of machine learning for image segmentation including a guided interactive framework, multimodal data analysis (virtual histology), image enhancement (denoising), and self-supervised learning for phase retrieval.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julian P. Moosmann, Bashir Kazimi, Philipp Heuser, Frank Schlünzen, Ivo Baltruschat, Sahar Kakavand, Christian Lucas, Stefan Bruns, Berit Zeller-Plumhoff, Florian Wieland, Hanna Cwieka, Silja Flenner, Imke Greving, Jörg U. Hammel, and Felix Beckmann "Artificial intelligence for synchrotron-radiation tomography", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265502 (28 September 2023); https://doi.org/10.1117/12.2675628
Advertisement
Advertisement
KEYWORDS
Tomography

Artificial intelligence

Image segmentation

Machine learning

Phase contrast

Synchrotron radiation

X-rays

RELATED CONTENT


Back to Top