This work is aimed at understanding the applied value of the mathematical problem of discrete tomography. Tomography, in general, is about the reconstructing of objects by sets of observable properties. Theoretically this is a typical inverse problem of combinatorial analysis. In applied level, in addition to the well-known task of tests and testing from the electrical engineering, complementary tasks of biomedical nature are considered. An example of the second task which is about treating sets of biological linear specimens with combinations from a limited resource of drugs (antibiotics) is considered aiming at achieving as many different treatment courses as possible to take place.