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Pablo Villanueva Perez

Senior lecturer

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Super Time-Resolved Tomography

Author

  • Zhe Hu
  • Zisheng Yao
  • Kalle Josefsson
  • Francisco García-Moreno
  • Malgorzata Makowska
  • Yuhe Zhang
  • Pablo Villanueva-Perez

Summary, in English

Understanding three Dimensional (3D) fundamental processes is crucial for academic and industrial applications. Nowadays, X-ray time-resolved tomography, or tomoscopy, is a leading technique for in situ and operando 4D (3D+time) characterization. Despite its ability to achieve 1000 tomograms per second at large-scale X-ray facilities, its applicability is limited by the centrifugal forces exerted on samples and the challenges of developing suitable environments for such high-speed studies. Here, Super Time-Resolved Tomography (STRT) is introduced, an approach that has the potential to enhance the temporal resolution of tomoscopy by at least an order of magnitude while preserving spatial resolution. STRT exploits a 4D Deep Learning (DL) reconstruction algorithm to produce high-fidelity 3D reconstructions at each time point, retrieved from a significantly reduced angular range of a few degrees compared to the 0–180° of traditional tomoscopy. Thus, STRT enhances the temporal resolution compared to tomoscopy by a factor equal to the ratio between 180° and the angular ranges used by STRT. In this work, the 4D capabilities of STRT were validated through simulations and experiments on droplet collision simulations and additive manufacturing processes. It is anticipated that STRT will significantly expand the capabilities of 4D X-ray imaging, enabling previously unattainable studies in both academic and industrial contexts, such as materials formation and mechanical testing.

Department/s

  • Synchrotron Radiation Research
  • LU Profile Area: Light and Materials
  • NanoLund: Centre for Nanoscience
  • LTH Profile Area: Nanoscience and Semiconductor Technology
  • LTH Profile Area: Photon Science and Technology

Publishing year

2025

Language

English

Publication/Series

Advanced Science

Document type

Journal article

Publisher

John Wiley & Sons Inc.

Topic

  • Atom and Molecular Physics and Optics
  • Other Physics Topics

Keywords

  • additive manufacturing
  • machine learning
  • time-resolved tomography
  • X-ray imaging

Status

Epub

ISBN/ISSN/Other

  • ISSN: 2198-3844