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Abstract            Volume:13  Issue-6  Year-2025         Original Research Articles


Online ISSN : 2347 - 3215
Issues : 12 per year
Publisher : Excellent Publishers
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A Review on CASA-Computer-Assisted Semen Analysis
R. Purushothaman1,2*, K. Lokesh1, M. Prakash2, Yashmi Agwina Xavier1, Sinthia Ganeshan1 and M. Gayathri1
1Dr. Borus Andro Lab and Research Center, Chennai, India
2Research Department of Microbiology, Kanchi Shri Krishna College of arts and science, Kilambi, Kancheepuram-631551, Tamilnadu, India
*Corresponding author
Abstract:

Computer-Assisted Semen Analysis (CASA) has emerged as a revolutionary tool in reproductive medicine, offering objective, accurate, and repeatable assessment of sperm parameters that were traditionally evaluated manually and subjectively. This review provides a comprehensive overview of the development, principles, applications, and technological advancements of CASA systems. It highlights how CASA has improved the evaluation of sperm motility, concentration, morphology, and other kinematic parameters in both human and animal semen. Additionally, the paper explores recent innovations including AI integration, microfluidics, and smartphone-based analysis, while discussing the limitations of current systems, such as sensitivity to sample preparation and lack of standardization. The review also identifies future research directions aimed at enhancing diagnostic precision and accessibility in andrology and fertility science. Overall, CASA continues to evolve as a critical technology in the pursuit of improving reproductive health outcomes.

Keywords: Computer-Assisted Semen Analysis (CASA), Semen Analysis, Sperm Motility, Sperm Morphology, Male Fertility Assessment, Reproductive Technologies, Artificial Intelligence in Andrology, CASA Systems, Automated Sperm Evaluation, Andrology Diagnostics.
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How to cite this article:

Purushothaman, R., K. Lokesh, M. Prakash, Yashmi Agwina Xavier, Sinthia Ganeshan and Gayathri, M. 2025. A Review on CASA- Computer-Assisted Semen Analysis.Int.J.Curr.Res.Aca.Rev. 13(6): 42-45
doi: https://doi.org/10.20546/ijcrar.2025.1306.006
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.


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