<i>SMAXI</i> : a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis

Dukyong Kim, Tao Sun

Open source

DOI: 10.1107/s1600577526007745
Published: 2026-08-26
Container: Journal of Synchrotron Radiation
Publisher: International Union of Crystallography (IUCr)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1107/s1600577526007745,
  title = {<i>SMAXI</i>
                    : a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis},
  author = {Dukyong Kim and Tao Sun},
  year = {2026},
  journal = {Journal of Synchrotron Radiation},
  doi = {10.1107/s1600577526007745},
  url = {https://doi.org/10.1107/s1600577526007745}
}

RIS

TY  - JOUR
TI  - <i>SMAXI</i>
                    : a machine-learning-powered open-source software for multidimensional full-field X-ray image analysis
AU  - Dukyong Kim
AU  - Tao Sun
PY  - 2026
JO  - Journal of Synchrotron Radiation
DO  - 10.1107/s1600577526007745
UR  - https://doi.org/10.1107/s1600577526007745
ER  -

APA

Kim, D., & Sun, T. (2026). <i>SMAXI</i> : 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

crossref · retrieved 2026-11-06T20:22:58.770Z