Partaker: deep-learning-based single-cell-resolution analysis of multi-dimensional, long-term, microfluidic-based time-lapse microscopy data.
- DOI
- 10.1093/bioinformatics/btag675
- Published
- 2026 Aug 31
- Container
- Bioinformatics (Oxford, England)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag675,
title = {Partaker: deep-learning-based single-cell-resolution analysis of multi-dimensional, long-term, microfluidic-based time-lapse microscopy data.},
author = {Libutti-Núñez HH and Akindipe BA and Rastaghi H and Hashemi N and Oliveira SMD},
year = {2026},
journal = {Bioinformatics (Oxford, England)},
doi = {10.1093/bioinformatics/btag675},
url = {https://doi.org/10.1093/bioinformatics/btag675}
}RIS
TY - JOUR TI - Partaker: deep-learning-based single-cell-resolution analysis of multi-dimensional, long-term, microfluidic-based time-lapse microscopy data. AU - Libutti-Núñez HH AU - Akindipe BA AU - Rastaghi H AU - Hashemi N AU - Oliveira SMD PY - 2026 JO - Bioinformatics (Oxford, England) DO - 10.1093/bioinformatics/btag675 UR - https://doi.org/10.1093/bioinformatics/btag675 ER -
APA
HH, L., BA, A., H, R., N, H., & SMD, O. (2026). Partaker: deep-learning-based single-cell-resolution analysis of multi-dimensional, long-term, microfluidic-based time-lapse microscopy data.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag675
Source records
- pubmed · retrieved 2026-11-10T08:05:22.913Z