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

Online ISSN : 2347 - 3215 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcret@gmail.com

Computer-Assisted Semen Analysis (CASA) has revolutionized the assessment of male fertility by providing objective, quantitative, and reproducible measurements of sperm motility, concentration, and morphology. As reproductive technologies evolve and demand for precise semen analysis grows, CASA systems are poised for significant transformation. Future developments are expected to be driven by advances in artificial intelligence, deep learning, and high-resolution imaging, enabling more accurate sperm classification, enhanced tracking in complex environments, and the detection of subtle morphological abnormalities. Furthermore, the integration of CASA with wearable biosensors, cloud computing, and mobile health applications could decentralize fertility diagnostics and broaden access to reproductive care. Standardization of algorithms and datasets, coupled with open-source development, will be crucial for ensuring consistency and transparency across platforms. This paper explores emerging trends, potential innovations, and the challenges that must be addressed to realize the full potential of next-generation CASA technologies.

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