Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure.

Master R, Poon W, Uzma R, Bannikov S, Krishnamoorthi MK, Veeraraghavan A, Zhao H, Bhimaraj A, Raghunathan R, Wong STC

Open source

DOI
10.64898/2026.10.21.760498
Published
2026 Oct 23
Container
bioRxiv : the preprint server for biology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.64898/2026.10.21.760498,
  title = {Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure.},
  author = {Master R and Poon W and Uzma R and Bannikov S and Krishnamoorthi MK and Veeraraghavan A and Zhao H and Bhimaraj A and Raghunathan R and Wong STC},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.10.21.760498},
  url = {https://doi.org/10.64898/2026.10.21.760498}
}

RIS

TY  - JOUR
TI  - Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure.
AU  - Master R
AU  - Poon W
AU  - Uzma R
AU  - Bannikov S
AU  - Krishnamoorthi MK
AU  - Veeraraghavan A
AU  - Zhao H
AU  - Bhimaraj A
AU  - Raghunathan R
AU  - Wong STC
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.10.21.760498
UR  - https://doi.org/10.64898/2026.10.21.760498
ER  - 

APA

R, M., W, P., R, U., S, B., MK, K., A, V., H, Z., A, B., R, R., & STC, W. (2026). Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.10.21.760498

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