Microorganism cell counting is a basic laboratory technique which was frequently used in Microbiology Lab, hospital and pharmaceutical company. The traditional technique which is called “Hemocytometer method” counts the cells smeared on Hemocytometer (A special micro slide) under a microscope. It is the most popular and cheapest way to count cells or microorganisms. However, Hemocytometer method is not always accurate enough and counting cells under microscopes is a tedious job. Therefore, the engineers have developed lots of new means to achieve higher accuracy and shorter processing times. But those new means require fastidious preparation and complicated operation. Furthermore, most basic labs cannot afford those equipments. Therefore, Hemocytometer method still is the top choice for most researchers. With my background and experience in computer science and biomedicine, I am developing simple software to improve the accuracy and reduce the counting time for Hemocytometer method. The general idea of this software is to digitally process the images taken under an optical microscope. The general steps are: Eliminating noise and impurities, Gridding recognition, Cell recognition, Cell counting and gathering the data. The benefit of this software is to achieve more accurate results while avoiding arduous tasks performed by the technicians and scientists
