We introduce a high-resolution polarization imaging approach for automatic stand-alone classification of the unstained breast cancer tissue blocks by using K-means cluster analysis of the Stokes vectors projected on the Poincaré sphere.
In this study, we utilize the properties of polarized light for the analysis of paraffin-embedded breast cancer samples. We perform the measurements of the full Stokes vector of back-reflected radiation and calculate the degree of polarization as a diagnostic criterion for the separation of healthy and cancer sample sections. We show that circularly polarized light scattered within the breast sample is sensitive to the presence of cancer cells. The degree of the polarization of the reflected light was found to be the most sensitive parameter for the reliable differentiation of tissue. We show that circularly polarized light scattered within the breast sample is sensitive to the presence of cancer cells. The highest contrast between cancerous and normal regions was observed for the probing wavelength of 450 nm. The degree of the polarization of the reflected light was found to be the most sensitive parameter. Mapping the Stokes vectors of backscattered light on a Poincaré sphere helps to highlight the changes of polarization state.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.