The analysis of sperm morphology (n = 100) was performed using Vision Sperm automatic sperm analysis system.
Evaluation of detection accuracy of sperm morphology was carried out using the following operational criteria that system calculated automatically: diagnostic sensitivity (DSe), diagnostic specificity (DSp) and diagnostic efficiency (DE).
The system automatically scanned the slides, identified and performed preliminary sorting (pre-classification) of spermatozoa into four categories of morphological defects: ‘Head’, ‘Neck’, ‘Tail’ and ‘ERC’.
Medical validation and generation of report on results of the analysis were carried out simultaneously with scanning of new sperm samples. The average examination time of one glass slide was 3 min 43 sec. The high efficiency of sperm recognition by the Vision Sperm system has been established. Application of Vision Sperm analysis system ensured automation and standardization of assessment a sperm morphology and improved a performance in clinical laboratory.
Evgenia I. Kaznacheeva – Head of the General clinical studies laboratory, LLC ‘INVITRO’, Moscow, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dmitriy Y. Sosnin – MD, PhD, DSc, Professor at the Department of faculty therapy № 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. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Anna Yu. Petukhova – Engineer of the analytical systems group of the service center LLC ‘Medica Product’, Moscow, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Vladislav A. Sapozhkov – Engineer of the analytical systems group of the service center LLC ‘Medica Product’, Moscow, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Anna S. Churilova – Head of the Artificial Intelligence Development Group of the Software Development Department LLC ‘Medica Product’, Perm, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Gleb A. Kataev – Technical writer of LLC ‘Medica Product’, Perm, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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