SMAXI: a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis.

Kim D, Sun T

DOI: 10.1107/s1600577526007745
Published: 2026 Sep 1
Container: Journal of synchrotron radiation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1107/s1600577526007745,
  title = {SMAXI: a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis.},
  author = {Kim D and Sun T},
  year = {2026},
  journal = {Journal of synchrotron radiation},
  doi = {10.1107/s1600577526007745},
  url = {https://doi.org/10.1107/s1600577526007745}
}

RIS

TY  - JOUR
TI  - SMAXI: a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis.
AU  - Kim D
AU  - Sun T
PY  - 2026
JO  - Journal of synchrotron radiation
DO  - 10.1107/s1600577526007745
UR  - https://doi.org/10.1107/s1600577526007745
ER  -

APA

D, K., & T, S. (2026). SMAXI: a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis.. Journal of synchrotron radiation. https://doi.org/10.1107/s1600577526007745

Source records

pubmed · retrieved 2026-09-25T20:41:33.503Z