Poster + Paper
12 March 2024 Assessment of correlation in refractive indices through Fourier domain Mueller matrix imaging from unstained cervical tissue sections
Nishkarsh Kumar, Asima Pradhan, Nirmalya Ghosh
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Conference Poster
Abstract
Cervical cancer is one of the leading causes of death in women across the globe. Among the several diagnosis techniques that have been explored, optics-based methods have demonstrated highly promising outcomes in detection of cervical cancer at early stages [1]. Mueller matrix imaging and spectroscopy is one of the polarizations based optical technique which has been used in classification of cervical cancer. Polarization parameters obtained from the Mueller matrix have indicated the changes in real and imaginary part of refractive indices between two orthogonal polarizations. In this study, we develop the Fourier domain Mueller matrix imaging (FMMI) system to look at correlations between the real and imaginary parts of the refractive indices. However, the dependence of both parts of refractive indices to one another needs to be established. Simulation studies were performed on 1-D sinusoidal functions and fractional Brownian motion signals as inputs of refractive indices. The correlations between these functions (refractive indices) obtained through Fourier domain Mueller matrix and pairwise linear correlation coefficients were found to be identical. Further, a FMMI system has been developed and calibrated using standard samples (like homogenous diattenuator and linear retarder) with an error <10 %. Currently, experiments are being performed on unstained cervical tissue sections to understand the correlations between refractive indices.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nishkarsh Kumar, Asima Pradhan, and Nirmalya Ghosh "Assessment of correlation in refractive indices through Fourier domain Mueller matrix imaging from unstained cervical tissue sections", Proc. SPIE 12836, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 128360G (12 March 2024); https://doi.org/10.1117/12.3009693
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KEYWORDS
Mueller matrices

Refractive index

Polarization

Tissues

Anisotropy

Imaging spectroscopy

Biological imaging

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