Synchrotron Radiation CT (SRCT) | Tak Ming Wong

An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks

Thu, 19 Mar 2026 00:00:00 +0000

How to cite

Kirchner, Fabian, D. C. Florian Wieland, Sarah Irvine, Sven Schimek, Jan Reimers, Rossella Aversa, Alexey Boubnov, Christian Lucas, Silja Flenner, Imke Greving, André Lopes Marinho, Tak Ming Wong, Regine Willumeit-Römer, Catriona Eschke, and Berit Zeller-Plumhoff. “An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks.” Scientific Data (2026).

Bibtex

@article{kirchner2026ontology,
title={An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks},
author={Kirchner, F and Wieland, DCF and Irvine, S and Schimek, S and Reimers, J and Aversa, R and Boubnov, A and Lucas, C and Flenner, S and Greving, I and others},
journal={Scientific Data},
year={2026},
publisher={Nature Publishing Group UK London}
}

Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison

Mon, 18 Aug 2025 00:00:00 +0000

How to cite

Ulrich, Kim, Fabian Scheckenbach, Tak Ming Wong>, Tom Masselter, Silja Flenner, Anaclara Visconti, Martin Nopens, Andreas Krause, Sergej Kaschuro, Jakob Benedikt Mietner, Thomas Speck, Imke Greving, Berit Zeller-Plumhoff, and Linnea Hesse. “Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison.” Frontiers in Plant Science 16 (2025): 1572745.

Bibtex

@article{ulrich2025quantifying,
title={Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison},
author={Ulrich, Kim and Scheckenbach, Fabian and Wong, Tak Ming and Masselter, Tom and Flenner, Silja and Visconti, Anaclara and Nopens, Martin and Krause, Andreas and Kaschuro, Sergej and Benedikt Mietner, Jakob and Speck, Thomas and Greving, Imke and Zeller-Plumhoff, Berif and Linnea, Hesse},
journal={Frontiers in Plant Science},
volume={16},
pages={1572745},
year={2025},
publisher={Frontiers}
}

Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram

Wed, 13 Aug 2025 00:00:00 +0000

Note

🏆 This paper is highlighted as an Editors' Pick.

How to cite

Yang, Xiaogang, Dawit Hailu, Vojtěch Kulvait, Thomas Jentschke, Silja Flenner, Imke Greving, Stuart I. Campbell, Johannes Hagemann, Christian G. Schroer, Tak Ming Wong, and Julian Moosmann. “Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram.” Optics Express 33, no. 17 (2025): 35832-35851.

Bibtex

@article{yang2025self,
title={Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram},
author={Yang, Xiaogang and Hailu, Dawit and Kulvait, Vojt{\v{e}}ch and Jentschke, Thomas and Flenner, Silja and Greving, Imke and Campbell, Stuart I and Hagemann, Johannes and Schroer, Christian G and Wong, Tak Ming and Moosmann, Julian},
journal={Optics Express},
volume={33},
number={17},
pages={35832--35851},
year={2025},
publisher={Optica Publishing Group}
}

A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines

Sat, 01 Feb 2025 00:00:00 +0000

How to cite

Kieß, S., Lang, T., Sauer, T., Stock, A., Chernov, A., Sun, Y., Maier, A., Faragó, T., Ershov, A., Lefloch, G., Silva, G., Baumbach, T., Zabler, S., Hölzing, A., Dremel, K., Durmaz, A., Thomas, A., Manke, I., Kardjilov, N., Arlt, T., Wong, T., Willumeit-römer, R., Moosmann, J., Zeller-Plumhoff, B., Froning, D., & Simon, S. (2025). A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines. 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium. e-Journal of Nondestructive Testing Vol. 30(2).

Bibtex

@article{kiess2025framework,
title={A Framework for the AI-based Visualization and Analysis of Massive Amounts of 4D Tomography Data for End Users of Beamlines},
author={Kie{\ss}, Steffen and Lang, Thomas and Sauer, Tomas and Stock, A Michael and Chernov, Andrei and Sun, Yipeng and Maier, Andreas and Farag{\'o}, Tom{\'a}{\v{s}} and Ershov, Alexey and Lefloch, Gabriel and others},
year={2025}
}

Machine Learning for the Reconstruction and Analysis of Synchrotron-radiation Tomography Data

Wed, 23 Oct 2024 00:00:00 +0000

How to cite

Moosmann, Julian, Jennifer Ahrens, Sarah Irvine, Tak Ming Wong, Christian Lucas, Felix Beckmann, Jörg U. Hammel, DC Florian Wieland, Berit Zeller-Plumhoff, and Philipp Heuser. “Machine learning for the reconstruction and analysis of synchrotron-radiation tomography data.” In Developments in X-Ray Tomography XV, vol. 13152, pp. 65-71. SPIE, 2024.

Bibtex

@InProceedings{moosmann2024machine,
title = {Machine learning for the reconstruction and analysis of synchrotron-radiation tomography data},
author = {Moosmann, Julian P and Irvine, Sarah and Hailu, Dawit and Kazimi, Bashir and Wong, Tak and Yang, Xiaogang and Heuser, Philipp and Jentschke, Thomas and Kulvait, Vojtech and Zeller-Plumhoff, Berit and others},
booktitle = {Developments in X-Ray Tomography XV},
volume = {13152},
pages = {131520Z},
year = {2024},
organization= {SPIE}
}

VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces

Tue, 18 Jun 2024 00:00:00 +0000

How to cite

Wong, Tak Ming, Julian Moosmann, and Berit Zeller-Plumhoff. “VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 53-62. 2024.

Bibtex

@InProceedings{wong2024volraft,
author = {Wong, Tak Ming and Moosmann, Julian and Zeller-Plumhoff, Berit},
title = {VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2024},
pages = {53-62}
}