Cell counting is usually done manually for in vitro cell culture using a hemocytometer. It is important that cell counts are accurate, consistent, and fast, particularly for quantitative measurements of cellular responses. Although some automated cell counting devices were developed, the prices are not favorable. In contrast, hemocytometer is inexpensive and commonly used in lab, but it is laborious and subject to user bias and misuse, which results in inaccurate counts. To mitigate the tedium associated with manual counting and reduce the user bias, we proposed to develop an automatic cell counting method for Hemocymeters by image processing.