PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell tracking.

Seiffarth J, Nöh K

DOI: 10.1371/journal.pone.0337110
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0337110,
  title = {PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell tracking.},
  author = {Seiffarth J and Nöh K},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0337110},
  url = {https://doi.org/10.1371/journal.pone.0337110}
}

RIS

TY  - JOUR
TI  - PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell tracking.
AU  - Seiffarth J
AU  - Nöh K
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0337110
UR  - https://doi.org/10.1371/journal.pone.0337110
ER  -

APA

J, S., & K, N. (2025). PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell tracking.. PloS one. https://doi.org/10.1371/journal.pone.0337110

Source records

pubmed · retrieved 2026-09-25T16:38:23.529Z