A method and device for automatically identifying sperm cells in a smear on a microscope slide, including capturing a first digital color image within an area of interest on the microscope slide. The first digital color image is split into a plurality of component color space images and stored into a plurality of memory spaces. The component color space images are manipulated by mathematical functions, logical functions or a combination of mathematical and logical functions to produce a result image. Thresholding the result image creates a binary result image which is processed with particle (blob) analysis. A set of blob factors is applied to identify probable sperm cells; and a list of universal coordinate system positions of the probable sperm cells is created.