The development of digital microscopy and computer data analysis has contributed to the introduction into clinical practice of methods for evaluating laboratory samples with automated image analysis. A comparative analysis of the time required to evaluate 100 samples of various types of laboratory tests by manual and automated methods using Vision® analysis systems has been carried out. The results obtained indicate that automated approaches in microscopic studies using Vision® analysis systems reduce the time for laboratory tests by up to 4 times compared with traditional manual methods. Vision® systems also improve the accuracy of the analysis by automatically collecting and pre-classifying cells, which eliminates the influence of human factors during the evaluation of the sample. Thus, the use of automatic Vision® systems makes it possible to increase the efficiency of laboratory work.
Dmitriy Yu. Sosnin – MD, PhD, DSc,Professor at the Department of Faculty Therapy No. 2, Occupational Pathology and Clinical Laboratory Diagnostics of the Wagner State Medical University, E. A. Vagner Perm State Medical University, Ministry of Health of Russian Federation, Perm, Russia.
Anton N. Belkin – senior lecturer of the Department of Pathological Anatomy with a sectional course of the Wagner State Medical University, E. A. Vagner Perm State Medical University, Ministry of Health of Russian Federation, Perm, Russia.
Gleb A. Kataev – technical writer of LLC ‘Medica Product’, Perm, Russia.
Anna S. Churilova – head of the Artificial Intellegence Development Group of the Software Development Department LLC ‘Medica Product’, Perm, Russia.
Boris F. Falkov – director of Software Development, LLC ‘Medica Product’, Perm, Russia.
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DOI: 10.14489/lcmp.2025.04.pp.004-010
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