Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure
- 1Houston Methodist Research Institute
Abstract
Heart failure is characterized by extracellular matrix remodeling and collagen deposition that impair myocardial function. Second harmonic generation (SHG) microscopy provides label-free visualization of fibrillar collagen and myosin but lacks standardized, interpretable, and quantitative frameworks with clinical-level performance. We present a feature extraction pipeline integrating 87 biologically interpretable SHG-derived metrics for automated classification of nonischemic heart failure in murine specimen. The framework distinguished normal, heart failure, and natural recovery states with area-under-the-curve values of 0.84-0.99, outperforming established open-source SHG feature extraction tools. These findings support interpretable, SHG-based quantification of cardiac remodeling and establish a methodology for future multimodal biophotonics applications.
Related
- PhenoMe: An interactive AI framework for interpretable, microscopy-driven phenotyping
- FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases
- Longitudinal computational phenotyping reveals a stable marker for depression symptoms
- Physics-driven self-supervised learning for quantitative high-fidelity structured illumination microscopy
- Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosis
BibTeX
@misc{master2026interpretable,
title = {{Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure}},
author = {R. Master and W. Poon and R. Uzma and S. Bannikov and M. K. Krishnamoorthi and A. Veeraraghavan and H. ZHAO and A. Bhimaraj and R. Raghunathan and S. T. Wong},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.21.760498},
url = {https://www.biorxiv.org/content/10.64898/2026.10.21.760498v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Interpretable computational SHG microscopy enables quantitative tissue phenotyping of cardiac remodeling in nonischemic heart failure
AU - R. Master
AU - W. Poon
AU - R. Uzma
AU - S. Bannikov
AU - M. K. Krishnamoorthi
AU - A. Veeraraghavan
AU - H. ZHAO
AU - A. Bhimaraj
AU - R. Raghunathan
AU - S. T. Wong
PY - 2026
DA - 2026/10/21
PB - bioRxiv
DO - 10.64898/2026.10.21.760498
UR - https://www.biorxiv.org/content/10.64898/2026.10.21.760498v1
AB - Heart failure is characterized by extracellular matrix remodeling and collagen deposition that impair myocardial function. Second harmonic generation (SHG) microscopy provides label-free visualization of fibrillar collagen and myosin but lacks standardized, interpretable, and quantitative frameworks with clinical-level performance. We present a feature extraction pipeline integrating 87 biologically interpretable SHG-derived metrics for automated classification of nonischemic heart failure in murine specimen. The framework distinguished normal, heart failure, and natural recovery states with area-under-the-curve values of 0.84-0.99, outperforming established open-source SHG feature extraction tools. These findings support interpretable, SHG-based quantification of cardiac remodeling and establish a methodology for future multimodal biophotonics applications.
SN - 2692-8205
ER -