ICOBA: A highly customizable iterative imagej macro for optimization of image co-localization batch analysis.

Rolland TJ, Hudson ER, Graser LA, Weil BR

DOI: 10.1016/j.softx.2025.102094
Published: 2025 May
Container: SoftwareX
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.softx.2025.102094,
  title = {ICOBA: A highly customizable iterative imagej macro for optimization of image co-localization batch analysis.},
  author = {Rolland TJ and Hudson ER and Graser LA and Weil BR},
  year = {2025},
  journal = {SoftwareX},
  doi = {10.1016/j.softx.2025.102094},
  url = {https://doi.org/10.1016/j.softx.2025.102094}
}

RIS

TY  - JOUR
TI  - ICOBA: A highly customizable iterative imagej macro for optimization of image co-localization batch analysis.
AU  - Rolland TJ
AU  - Hudson ER
AU  - Graser LA
AU  - Weil BR
PY  - 2025
JO  - SoftwareX
DO  - 10.1016/j.softx.2025.102094
UR  - https://doi.org/10.1016/j.softx.2025.102094
ER  -

APA

TJ, R., ER, H., LA, G., & BR, W. (2025). ICOBA: A highly customizable iterative imagej macro for optimization of image co-localization batch analysis.. SoftwareX. https://doi.org/10.1016/j.softx.2025.102094

Source records

pubmed · retrieved 2026-09-25T11:48:09.338Z