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Attempts to digitize samples and apply artificial intelligence and machine learning methods to analyze crystalloscopic (dried drops of biological fluids) and tesigraphic (dried drops of biological fluids with crystallogenic substance) facies have not yet been successful. In this regard, there is a need to develop a simplified algorithm for describing the facies of biological fluids, which can be used for a unified computer study of the results of crystallization of biological objects, which served as the purpose of the work. To develop and test the method presented in this paper, we used more than 16,000 images of dried biological fluids of the human and animal body, including both crystalloscopic and tesigraphic facies. The algorithm is based on determination of 4 main parameters (crystallizability, structure index, facies destruction degree and clearity of the marginal zone), graded on three-point scales. In addition, a facies integral parameter combining the values of all criteria is proposed.