The creation of training, expert and similar systems, using databases of complex color images, is a dream of many specialists in various subject matter areas including medicine. However, so far there has not been solved the problem high-quality metrological input to a computer of complex color images. This problem is now being solved mainly in two directions: (1) creation of black-and-white high-resolution hardware with alternate photographing an object through R, G, B-filters and subsequent superposing three images upon each other; (2) creation of high- resolution color hardware. It should be noted, besides purely engineering problems, with the resolution degree, the cost for the black-and-white equipment grows, in fact, quadratically and, that for the color hardware rises more than cubical. At the same time, in inputting static objects, one more possibility exists, namely: successive input of separate fragments of a complex image with subsequent mathematical joining (sewing together) them in a computer. Here the effective resolution of hardware used heightens such number times, that is practically proportional to the number of fragments input, except common zones required for high-quality joining. The present work is dedicated to practical realization of the latter direction conformingly to the input of cell group images. It should be noted that, all the three directions have to develop and complement each other, since even today the requirements for the images quality specified by specialists remains subjective enough and, permanently increasing demands lie within restricting frames (those technical, financial, etc.).