4D-ONIX: A deep learning approach for reconstructing 3D movies from sparse X-ray projections

no code implementations • 17 Jan 2024 • Yuhe Zhang, Zisheng Yao, Robert Klöfkorn, Tobias Ritschel, Pablo Villanueva-Perez

The X-ray flux provided by X-ray free-electron lasers and storage rings offers new spatiotemporal possibilities to study in-situ and operando dynamics, even using single pulses of such facilities.

Megahertz X-ray Multi-projection imaging

no code implementations • 19 May 2023 • Pablo Villanueva-Perez, Valerio Bellucci, Yuhe Zhang, Sarlota Birnsteinova, Rita Graceffa, Luigi Adriano, Eleni Myrto Asimakopoulou, Ilia Petrov, Zisheng Yao, Marco Romagnoni, Andrea Mazzolari, Romain Letrun, Chan Kim, Jayanath C. P. Koliyadu, Carsten Deiter, Richard Bean, Gabriele Giovanetti, Luca Gelisio, Tobias Ritschel, Adrian Mancuso, Henry N. Chapman, Alke Meents, Tokushi Sato, Patrik Vagovic

X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D).

ONIX: an X-ray deep-learning tool for 3D reconstructions from sparse views

no code implementations • 1 Mar 2022 • Yuhe Zhang, Zisheng Yao, Tobias Ritschel, Pablo Villanueva-Perez

We anticipate that ONIX will become a crucial tool for the X-ray community by i) enabling the study of fast dynamics not possible today when implemented together with X-ray multi-projection imaging, and ii) enhancing the volumetric information and capabilities of X-ray stereoscopic imaging in medical applications.

3D Object Reconstruction 3D Reconstruction