Automated sperm immobilization for intracytoplasmic sperm injection

Area of Science:

• Reproductive Medicine
• Biomedical Engineering
• Robotics

Background:

• Sperm immobilization is crucial for intracytoplasmic sperm injection (ICSI).
• Manual sperm immobilization is labor-intensive, requires extensive training, and suffers from low success rates and poor reproducibility due to human factors.
• Existing manual methods are limited by operator skill variations and fatigue.

Purpose of the Study:

• To develop and evaluate a fully automated system for sperm immobilization.
• To overcome the limitations associated with manual sperm immobilization techniques.
• To enhance the efficiency and reliability of sperm preparation for ICSI.

Main Methods:

• Integration of computer vision and motion control algorithms for automated sperm handling.
• Development of a robust sperm tail tracking algorithm for precise immobilization positioning.
• Utilizing a micropipette controlled by the automated system to immobilize sperm.

Main Results:

• Achieved an average sperm tail tracking error of 0.95 μm.
• Demonstrated a sperm tail visual tracking success rate of 96%.
• Obtained a high sperm immobilization success rate of 88.2% over 1000 trials.
• The system operates at a speed of 6-7 seconds per successful immobilization.

Conclusions:

• The automated sperm immobilization system effectively eliminates limitations of manual operation.
• The developed system offers high precision, success rates, and speed for sperm immobilization.
• This technology holds significant potential for improving ICSI procedures and outcomes.