mAIcrobe: an open-source framework for high-throughput bacterial image analysis
- DOI
- 10.1038/s44488-026-00022-y
- Published
- 2026-09-15
- Container
- Communications AI & Computing
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s44488-026-00022-y,
title = {mAIcrobe: an open-source framework for high-throughput bacterial image analysis},
author = {António D. Brito and Dominik Alwardt and Beatriz de P. Mariz and Sérgio R. Filipe and Mariana G. Pinho and Bruno M. Saraiva and Ricardo Henriques},
year = {2026},
journal = {Communications AI \& Computing},
doi = {10.1038/s44488-026-00022-y},
url = {https://doi.org/10.1038/s44488-026-00022-y}
}RIS
TY - JOUR TI - mAIcrobe: an open-source framework for high-throughput bacterial image analysis AU - António D. Brito AU - Dominik Alwardt AU - Beatriz de P. Mariz AU - Sérgio R. Filipe AU - Mariana G. Pinho AU - Bruno M. Saraiva AU - Ricardo Henriques PY - 2026 JO - Communications AI & Computing DO - 10.1038/s44488-026-00022-y UR - https://doi.org/10.1038/s44488-026-00022-y ER -
APA
Brito, A. D., Alwardt, D., Mariz, B. D. P., Filipe, S. R., Pinho, M. G., Saraiva, B. M., & Henriques, R. (2026). mAIcrobe: an open-source framework for high-throughput bacterial image analysis. Communications AI & Computing. https://doi.org/10.1038/s44488-026-00022-y
Source records
- crossref · retrieved 2026-09-26T13:35:26.337Z