<i>Tofu</i> : a fast, versatile and user-friendly image processing toolkit for computed tomography

Tomáš Faragó, Sergey Gasilov, Iain Emslie, Marcus Zuber, Lukas Helfen, Matthias Vogelgesang, Tilo Baumbach

Open source

DOI: 10.1107/s160057752200282x
Published: 2022-04-04
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/s160057752200282x,
  title = {<i>Tofu</i>
                    : a fast, versatile and user-friendly image processing toolkit for computed tomography},
  author = {Tomáš Faragó and Sergey Gasilov and Iain Emslie and Marcus Zuber and Lukas Helfen and Matthias Vogelgesang and Tilo Baumbach},
  year = {2022},
  journal = {Journal of Synchrotron Radiation},
  doi = {10.1107/s160057752200282x},
  url = {https://doi.org/10.1107/s160057752200282x}
}

RIS

TY  - JOUR
TI  - <i>Tofu</i>
                    : a fast, versatile and user-friendly image processing toolkit for computed tomography
AU  - Tomáš Faragó
AU  - Sergey Gasilov
AU  - Iain Emslie
AU  - Marcus Zuber
AU  - Lukas Helfen
AU  - Matthias Vogelgesang
AU  - Tilo Baumbach
PY  - 2022
JO  - Journal of Synchrotron Radiation
DO  - 10.1107/s160057752200282x
UR  - https://doi.org/10.1107/s160057752200282x
ER  -

APA

Faragó, T., Gasilov, S., Emslie, I., Zuber, M., Helfen, L., Vogelgesang, M., & Baumbach, T. (2022). <i>Tofu</i> : a fast, versatile and user-friendly image processing toolkit for computed tomography. Journal of Synchrotron Radiation. https://doi.org/10.1107/s160057752200282x

Source records

crossref · retrieved 2026-09-27T05:55:27.329Z