Evaluation of a computer-aided semen analysis system with sperm tail detection

Area of Science:

• Reproductive Biology
• Andrology
• Medical Technology

Background:

• Semen analysis is crucial for fertility assessment.
• Automated systems aim to improve accuracy and efficiency in sperm analysis.
• Distinguishing immotile spermatozoa from debris is a challenge in manual analysis.

Purpose of the Study:

• To evaluate the performance of the Stroemberg-Mika cell motion analyser (SM-CMA).
• To assess the SM-CMA's ability to differentiate immotile spermatozoa from other particles using tail detection.
• To investigate the influence of objective magnification and temperature on motility analysis.

Main Methods:

• Utilized the Stroemberg-Mika cell motion analyser (SM-CMA) for semen analysis.
• Analyzed both fresh semen samples and purified sperm suspensions from donors and patients.
• Compared manual sperm counts with computerized analysis and tested different objective magnifications (x10 vs. x20).
• Assessed the impact of temperature variations on sperm motility characteristics.

Main Results:

• A significant discrepancy was observed between manual and SM-CMA sperm concentration measurements.
• The SM-CMA demonstrated accurate recognition of motile spermatozoa but underestimated immotile ones.
• Temperature fluctuations had a negligible impact on motility characteristics during routine measurements.
• The x10 objective proved beneficial for analyzing samples with low sperm concentrations.

Conclusions:

• The SM-CMA is a versatile instrument for human semen examination, despite some user-interface limitations.
• The system effectively identifies motile sperm but requires careful consideration for immotile sperm assessment.
• The SM-CMA offers a valuable, albeit imperfect, automated solution for andrology laboratories.