Research On The Image Processing Of Cancer Cells Based On Polarization Information

The polarized light contains rich microstructure information of the tested sample.When a cell becomes cancerous,the cell structure changes,and normal cells and cancerous cells have different effects on the scattering of polarized light.The polarization characteristics can be obtained through polarization imaging to distinguish between normal cells and cancerous cells.In this paper,the polarization scattering properties of cells were studied using FDTD modeling based on Mie scattering theory.To study the scattering characteristics of cells with the same cytoplasmic size but different sizes of nuclei in two-dimensional space;to study the scattering characteristics of spherical cells and ellipsoid cells in three-dimensional space;to study the scattering characteristics of ordered cell arrays and disordered cell distribution.A set of Mueller matrix microscopy imaging system was designed.The system was used to acquire a set of polarization state images of the measured samples.The acquired polarization images were processed by Matlab to obtain the Mueller matrix of the measured samples.The Mueller matrix contained all the samples.Polarization information.Mueller matrix transformation of Mueller matrix image data obtained by Matlab processing can obtain relevant parameters with certain physical meaning.Using human hepatocytes and hepatoma cells as the tested samples,the above-mentioned methods were used to analyze the differences in the corresponding parameters of normal hepatocytes and cancerous hepatocytes.The experimental results provide a theoretical basis for further research on early detection and diagnosis of cancer.