Digital Histology by Phase Imaging Specific Biomarkers for Human Tumoral Tissues Discrimination

Histology is the diagnosis gold standard. Conventional biopsy presents artifacts, delays, or human bias. Digital histology includes automation and improved diagnosis. It digitalizes microscopic images of histological samples analyzes similar parameters. The present approach proposes novel use phase contrast in clinical digital to improve label-free fresh tissue slices prevents processing artifacts reduces time. Phase parameters are implemented calculated: external scale, fractal dimension, anisotropy factor, scattering coefficient, refractive index variance. Images healthy tumoral liver, colon, kidney employed. A total 252 with 10×, 20×, 40× magnifications measured. Discrimination significance between tissues assessed statistically ANOVA (p-value < 0.005). analysis made for each type different magnifications. shows a dependence on image magnification. p-value most significant below 10−5. Liver colon great overlap 10× dimension all types under analysis. These results promising praxis.