Imaging of early stage breast cancer with circularly polarized light

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.

[1]  I. Meglinski,et al.  Stokes-Correlometry Analysis of Biological Tissues With Polycrystalline Structure , 2019, IEEE Journal of Selected Topics in Quantum Electronics.

[2]  Valery V. Tuchin,et al.  Polarized Light for Biomedical Applications , 2017 .

[3]  Igor Meglinski,et al.  Application of circularly polarized light for non‐invasive diagnosis of cancerous tissues and turbid tissue‐like scattering media , 2015, Journal of biophotonics.

[4]  Igor Meglinski,et al.  Hyperspectral imaging of human skin aided by artificial neural networks. , 2019, Biomedical optics express.

[5]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[6]  Nirmalya Ghosh,et al.  Quantitative assessment of submicron scale anisotropy in tissue multifractality by scattering Mueller matrix in the framework of Born approximation , 2017 .

[7]  A. V. Dubolazov,et al.  3D Mueller-Matrix Diffusive Tomography of Polycrystalline Blood Films for Cancer Diagnosis , 2018, Photonics.

[8]  Tatiana Novikova,et al.  Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues , 2018, Journal of the European Optical Society-Rapid Publications.

[9]  Nandan K. Das,et al.  Submicron scale tissue multifractal anisotropy in polarized laser light scattering , 2017, 1701.00348.

[10]  I. Meglinski,et al.  Biomedical applications of Jones-matrix tomography to polycrystalline films of biological fluids , 2019, Journal of Innovative Optical Health Sciences.

[11]  Igor Meglinski,et al.  Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks , 2019, PloS one.

[12]  Zhu,et al.  Polarization memory of multiply scattered light. , 1989, Physical review. B, Condensed matter.

[13]  I. Meglinski,et al.  Mapping of polycrystalline films of biological fluids utilizing the Jones-matrix formalism , 2018 .

[14]  R R Alfano,et al.  Circular polarization memory of light. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.