Application of geometrical irregularities identification using the cubic phase masks

Abstract

The geometrical analysis of the healthy and the deformed biological cells is a very helpful aide to the generally more expensive and complicated pathological methods for disease detection. The methods demonstrated in this paper have successfully identified the healthy and the distorted cells using the cubic phase masks as the Fourier domain filters and a 4-f setup architecture of the Fourier Optics principles and the orientation wise weighted tuning of the edges of the cell. For two orthogonal arrangements of the mask, two images are generated. For the healthy and regular shaped cells, the maximum intensity values of these two images are the same whereas they are different for a distorted cell – for example, an ellipse or a sickle cell. Moreover, the maximum intensity values of the two halves of an image frame for a particular arrangement of the mask will be different for a tear-drop cell. These maximum brightness values are automatically read and the appropriate marking of these recognized cells has been done in an automated process.