Abstract: The normal scientific analysis of laboratory samples suffers from a lack of velocity and slowness in addition to the great effort exerted by way of the specialists which outcomes in different consequences for one sample in accordance to each specialist and his condition. In order to keep away from this on this approach is extraordinarily important in the cure of cellular scientific images. Edge detection minimizes the amount of information used. It ignores facts that does no longer work whilst retaining and manipulating the fundamental structural characteristics of the image. There is additionally a want to have an appropriate area detection concept. In this research, a range of strategies were used in the detection of the edges and their evaluation with extraordinary and utilized to a variety of samples of cell scientific images. This research was performed the usage of the MATLAB program. The end result used to be that the Laplacian of Gaussian coefficient had better consequences than almost all other algorithms in phrases of accuracy of the image.