Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation.

Rathbun IA, Banskota N, Lehrmann E, Gorospe M, De S

DOI: 10.1093/nar/gkag782
Published: 2026 Aug 10
Container: Nucleic acids research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/nar/gkag782,
  title = {Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation.},
  author = {Rathbun IA and Banskota N and Lehrmann E and Gorospe M and De S},
  year = {2026},
  journal = {Nucleic acids research},
  doi = {10.1093/nar/gkag782},
  url = {https://doi.org/10.1093/nar/gkag782}
}

RIS

TY  - JOUR
TI  - Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation.
AU  - Rathbun IA
AU  - Banskota N
AU  - Lehrmann E
AU  - Gorospe M
AU  - De S
PY  - 2026
JO  - Nucleic acids research
DO  - 10.1093/nar/gkag782
UR  - https://doi.org/10.1093/nar/gkag782
ER  -

APA

IA, R., N, B., E, L., M, G., & S, D. (2026). Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation.. Nucleic acids research. https://doi.org/10.1093/nar/gkag782

Source records

pubmed · retrieved 2026-09-25T23:38:59.958Z