An automated cell detection algorithm for lensfree shadow imaging platform

Here we propose an automated cell detection and counting algorithm for lens-free shadow imaging platform. This approach is based on the adaptive thresholding algorithm. The spatial variation of the threshold values is determined by the moving window technique. The shadow images of the Red Blood Cells(RBCs) are well detected and specified by the algorithm. The cell counting results from the algorithm for different concentration of blood cells are verified with the established cell counting results.