TY - GEN
T1 - Four Channel based Stokes-Mueller Polarimetry for Tissue Characterization Integrated with Machine Learning
AU - Spandana, K. U.
AU - Melanthota, Sindhoora Kaniyala
AU - Raghavendra, U.
AU - Rai, Sharada
AU - Mahato, K. K.
AU - Mazumder, Nirmal
N1 - Publisher Copyright:
© 2023 The Author(s).
PY - 2023
Y1 - 2023
N2 - We propose a transmission-based Stokes-Mueller microscope for quantitative analysis of the microstructural properties of the tissue specimen. The Stokes-Mueller based polarization microscopy provides significant structural information of tissue through various polarization parameters such as degree of polarization (DOP), degree of linear polarization (DOLP), and degree of circular polarization (DOCP), anisotropy (r) and Mueller decomposition parameters such as diattenuation, retardance and depolarization. Further, by applying a suitable image processing technique such as machine learning (ML) output images were analysed effectively. With the statistical features obtained from polarization images, a support vector machine (SVM) algorithm was trained to facilitate the tissue classification associated with its pathological condition.
AB - We propose a transmission-based Stokes-Mueller microscope for quantitative analysis of the microstructural properties of the tissue specimen. The Stokes-Mueller based polarization microscopy provides significant structural information of tissue through various polarization parameters such as degree of polarization (DOP), degree of linear polarization (DOLP), and degree of circular polarization (DOCP), anisotropy (r) and Mueller decomposition parameters such as diattenuation, retardance and depolarization. Further, by applying a suitable image processing technique such as machine learning (ML) output images were analysed effectively. With the statistical features obtained from polarization images, a support vector machine (SVM) algorithm was trained to facilitate the tissue classification associated with its pathological condition.
UR - https://www.scopus.com/pages/publications/85191177782
UR - https://www.scopus.com/pages/publications/85191177782#tab=citedBy
U2 - 10.1364/NTM.2023.NW1C.4
DO - 10.1364/NTM.2023.NW1C.4
M3 - Conference contribution
AN - SCOPUS:85191177782
T3 - Novel Techniques in Microscopy, NTM 2023
BT - Novel Techniques in Microscopy, NTM 2023
PB - Optical Society of America
T2 - Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023
Y2 - 24 April 2023 through 27 April 2023
ER -