Computation analyses of collagen fibril/fiber structure in ovarian cancer

Many human diseases including cancers and fibroses have significant changes in the collagen architecture. To better understand these alterations, we developed a rigorous wavelength dependent computational model of 3D quasi-phasematching in collagen tissues. We performed computational simulations over a large parameter space of fibril size and spacing and polarity. We found that fibrils need to have anti parallel alignment for consistency with the measured emission directionality and that local density is more important than average fibril spacing. This approach allows us to place bounds on fibril architecture parameters by comparison with the wavelength dependent directional data.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3042130
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Computation analyses of collagen fibril/fiber structure in ovarian cancer

Paul J. Campagnola, Emily Shelton
Radiomics and Machine Learning in Medical Imaging
article

Computation analyses of collagen fibril/fiber structure in ovarian cancer

Paul J. Campagnola, Emily Shelton
article en

Abstract

Many human diseases including cancers and fibroses have significant changes in the collagen architecture. To better understand these alterations, we developed a rigorous wavelength dependent computational model of 3D quasi-phasematching in collagen tissues. We performed computational simulations over a large parameter space of fibril size and spacing and polarity. We found that fibrils need to have anti parallel alignment for consistency with the measured emission directionality and that local density is more important than average fibril spacing. This approach allows us to place bounds on fibril architecture parameters by comparison with the wavelength dependent directional data.

University of Wisconsin–Madison (US)
Zero hunger
Openalex Percentile: Top 92%
Radiomics and Machine Learning in Medical Imaging
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