A Modified Hough Scheme Based Automated Cell Counting Method for the Lens-free Shadow Imaging Platform

Abstract

In this paper we demonstrate an automated cell counting method for the lens-free shadow imaging platform. The detection method is based on the identification of the diffraction pattern centers in a lens-free shadow image. For that we developed an algorithm by introducing a modified Hough transform scheme. The algorithm can efficiently detect the centers of the filtered pixel clusters of the diffraction patterns in a lens-free shadow image. Based on this technique we evaluated the concentrations of micro beads, RBC, HeLa and MCF-7 cell lines. These results were compared with the standard optical microscope results. The comparison shows a good correlation index of 0.9936.