Machine learning powered Mueller matrix microscope for collagen and elastin visualization in the mouse cervix

Mariacarla Gonzalez; Camilo Roa; Arturo Jimenez; Rachelle Gomez-Guevara; V. N. Du Le; Tatiana Novikova; Jessica Ramella-Roman

doi:10.1117/12.2609978

4 March 2022 Machine learning powered Mueller matrix microscope for collagen and elastin visualization in the mouse cervix

Mariacarla Gonzalez, Camilo Roa, Arturo Jimenez, Rachelle Gomez-Guevara, V. N. Du Le, Tatiana Novikova, Jessica Ramella-Roman

Author Affiliations +

Proceedings Volume 11963, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2022; 119630B (2022) https://doi.org/10.1117/12.2609978
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

There are 15 million infants born prematurely each year worldwide. Of these, about 1 million will die of complications from reduced gestation (37 weeks and less) before the age of five. Cervical remodeling, which is the transformation of the cervix from a firm structure to a soft one, is essential for both term and preterm birth (PTB). Monitoring the uterine cervix remodeling and particularly the arrangement of the cervix primary structural components (elastin and collagen) is of great interest to researchers studying PTB. We have utilized a Self-validating Mueller Matrix Micro-Mesoscope (SAMMM) with convolutional neural networks (CNN) and K-nearest neighbor (K-NN) for classification of elastin and collagen fibers in the mouse cervix. In this work, we proposed that an independent polarized microscope can be used for collagen and elastin classification leveraging the previously developed classifier. The Mueller matrix and decomposition parameters of depolarization, retardance and diattenuation obtained with this system are fed to the previously developed classifier. Excised cervical tissues (50 μm thickness) were used in this study including samples obtained at different gestation days.

Citation Download Citation

Mariacarla Gonzalez, Camilo Roa, Arturo Jimenez, Rachelle Gomez-Guevara, V. N. Du Le, Tatiana Novikova, and Jessica Ramella-Roman "Machine learning powered Mueller matrix microscope for collagen and elastin visualization in the mouse cervix", Proc. SPIE 11963, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2022, 119630B (4 March 2022); https://doi.org/10.1117/12.2609978

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available