A tool is designed and tested to provide histopathologists with a powerful mean for studying and analyzing cells and tissue sections. In this research, Optical Laser Microscope was modified by adding a laser diode under the stage of microscope which transfers the reflected light type microscope into transmitted type. Using an optical laser microscope, biomedical cells was scanned by digital camera connected to PC via USB. Image analysis techniques are described for automatic detection, segmentation, feature description and classification of the biomedical cell within the specified organ (Liver and squamous epithelium from the oral cavity). The used algorithm is designed using MATLAB 7.0. The obtained results represent a quantitative description of the tested cells, based on statistics of the component. Combining some newly advanced algorithms with other techniques has developed a software package for analysis of these images. Cells were sampled. Each cell was digitized into 512 x 512 pixels. The pixel gray values have an 8-bit resolution, allowing 256 discrete values. Two features were extracted from each cell: form and gray level features. Finally, a comparative study is made between the produced images and the Electron Microscope image results found in literature. According to the results obtained, the comparison gives the weight to the Optical Laser Microscope over Electron Microscope.