Fluorescence Mueller Matrix Imaging of stromal region in unstained cervical tissue-sections: Quantitative categorization of CIN grades

This study introduces a fluorescence Mueller matrix imaging system coupled with an appropriate analysis method for assessing anisotropy in the stromal regions of human ectocervical tissue sections. The system effectively captures detailed changes in tissue morphology and biochemistry, driven by interactions between intrinsic fluorophores and their microenvironment. Measurements from the connective tissue near the epithelium reveal significant alterations in fluorescence diattenuation and polarizance in both ground and excited states. Pronounced differences in the decomposition-derived anisotropy parameters are observed for unstained cervical tissue sections varying from healthy to different grades of cervical intraepithelial neoplasia (CIN). A significant reduction in the parameters-circular depolarization (<i>M</i><sub>44</sub> decreases from 0.65 in healthy tissue to 0.05 in CIN-III), fluorescence linear diattenuation (<i>α</i><sub>L</sub> drops from 0.25 to 0.07), and fluorescence linear polarizance (<i>β</i><sub>L</sub> drops from 0.27 to 0.08)-is observed due to the degradation of the collagen fibrous structure present within the stromal region of the human cervix. The polarization parameters demonstrate a linear relationship between healthy and different CIN grades as the cancer progresses. Additionally, a strong correlation was identified between <i>α</i><sub>L</sub> and <i>β</i><sub>L</sub>, confirmed through linear curve fitting across all sites examined at different CIN grades. This fluorescence Mueller matrix imaging technique, coupled with a suitable decomposition method, serves as a diagnostic tool that minimizes the need for extensive clinical tests. It effectively detects early stage cervical cancer by identifying significant decreases in fluorescence linear diattenuation and polarizance, offering valuable quantitative insights into tissue changes across various pre-cancerous grades.

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Publication Details

Journal
Applied Optics
Published
2025-09-18
DOI
https://doi.org/10.1364/ao.570024
Primary Topic
Tissue Engineering and Regenerative Medicine
Type
article
Field-Weighted Citation Impact
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article

Fluorescence Mueller Matrix Imaging of stromal region in unstained cervical tissue-sections: Quantitative categorization of CIN grades

Asima Pradhan, Nishkarsh Kumar, Asha Agarwal, Sumedha Chanda
Applied Optics
Tissue Engineering and Regenerative Medicine
article

Fluorescence Mueller Matrix Imaging of stromal region in unstained cervical tissue-sections: Quantitative categorization of CIN grades

Asima Pradhan, Nishkarsh Kumar, Asha Agarwal, Sumedha Chanda
article en

Abstract

This study introduces a fluorescence Mueller matrix imaging system coupled with an appropriate analysis method for assessing anisotropy in the stromal regions of human ectocervical tissue sections. The system effectively captures detailed changes in tissue morphology and biochemistry, driven by interactions between intrinsic fluorophores and their microenvironment. Measurements from the connective tissue near the epithelium reveal significant alterations in fluorescence diattenuation and polarizance in both ground and excited states. Pronounced differences in the decomposition-derived anisotropy parameters are observed for unstained cervical tissue sections varying from healthy to different grades of cervical intraepithelial neoplasia (CIN). A significant reduction in the parameters-circular depolarization (<i>M</i><sub>44</sub> decreases from 0.65 in healthy tissue to 0.05 in CIN-III), fluorescence linear diattenuation (<i>α</i><sub>L</sub> drops from 0.25 to 0.07), and fluorescence linear polarizance (<i>β</i><sub>L</sub> drops from 0.27 to 0.08)-is observed due to the degradation of the collagen fibrous structure present within the stromal region of the human cervix. The polarization parameters demonstrate a linear relationship between healthy and different CIN grades as the cancer progresses. Additionally, a strong correlation was identified between <i>α</i><sub>L</sub> and <i>β</i><sub>L</sub>, confirmed through linear curve fitting across all sites examined at different CIN grades. This fluorescence Mueller matrix imaging technique, coupled with a suitable decomposition method, serves as a diagnostic tool that minimizes the need for extensive clinical tests. It effectively detects early stage cervical cancer by identifying significant decreases in fluorescence linear diattenuation and polarizance, offering valuable quantitative insights into tissue changes across various pre-cancerous grades.

Applied OpticsVol. 64(29)
Openalex Percentile: Top 59%
Tissue Engineering and Regenerative Medicine
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Fluorescence Mueller Matrix Imaging of stromal region in unstained cervical tissue-sections: Quantitative categorization of CIN grades — Asima Pradhan, Nishkarsh Kumar, et al. · Applied Optics (2025) | TGRS Research Map | TGRS