Deep learning-based spatial immunoprofiling of multiplex immunofluorescence images distinguishes tuberculosis disease states in diversity outbred mice.
- DOI
- 10.1371/journal.pone.0358334
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0358334,
title = {Deep learning-based spatial immunoprofiling of multiplex immunofluorescence images distinguishes tuberculosis disease states in diversity outbred mice.},
author = {Sajjad U and Crossland NA and Gurcan MN and Beamer G and Niazi MKK},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0358334},
url = {https://doi.org/10.1371/journal.pone.0358334}
}RIS
TY - JOUR TI - Deep learning-based spatial immunoprofiling of multiplex immunofluorescence images distinguishes tuberculosis disease states in diversity outbred mice. AU - Sajjad U AU - Crossland NA AU - Gurcan MN AU - Beamer G AU - Niazi MKK PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0358334 UR - https://doi.org/10.1371/journal.pone.0358334 ER -
APA
U, S., NA, C., MN, G., G, B., & MKK, N. (2026). Deep learning-based spatial immunoprofiling of multiplex immunofluorescence images distinguishes tuberculosis disease states in diversity outbred mice.. PloS one. https://doi.org/10.1371/journal.pone.0358334
Source records
- pubmed · retrieved 2026-09-26T04:40:04.742Z