DeepBand: A Deep Learning-Enabled Multi-Stage Pipeline for Continuous Automated Quantification of Lateral Flow Assays

Manan Vij, Alex J. Rai

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DOI: 10.3390/diagnostics16182927
Published: 2026-09-10
Container: Diagnostics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16182927,
  title = {DeepBand: A Deep Learning-Enabled Multi-Stage Pipeline for Continuous Automated Quantification of Lateral Flow Assays},
  author = {Manan Vij and Alex J. Rai},
  year = {2026},
  journal = {Diagnostics},
  doi = {10.3390/diagnostics16182927},
  url = {https://doi.org/10.3390/diagnostics16182927}
}

RIS

TY  - JOUR
TI  - DeepBand: A Deep Learning-Enabled Multi-Stage Pipeline for Continuous Automated Quantification of Lateral Flow Assays
AU  - Manan Vij
AU  - Alex J. Rai
PY  - 2026
JO  - Diagnostics
DO  - 10.3390/diagnostics16182927
UR  - https://doi.org/10.3390/diagnostics16182927
ER  -

APA

Vij, M., & Rai, A. J. (2026). DeepBand: A Deep Learning-Enabled Multi-Stage Pipeline for Continuous Automated Quantification of Lateral Flow Assays. Diagnostics. https://doi.org/10.3390/diagnostics16182927

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crossref · retrieved 2026-09-27T10:39:53.583Z