1. A method of automatically identifying sperm cells in a smear, comprising: capturing a first digital color image within an area of interest on the smear; splitting the first digital color image into a plurality of component color space images and storing the component color space images into a plurality of memory spaces; manipulating the component color space images by mathematical functions, logical functions or a combination of mathematical and logical functions to produce a result image; thresholding the result image to create a binary result image; processing the binary result image with particle (blob) analysis; identifying probable sperm cells by applying a set of blob factors; and creating a list of universal coordinate system positions of the probable sperm cells.