C:ICSI
ICSI Automated
C:ICSI leverages AI, robotic systems, and machine vision to consistently execute the numerous precision tasks associated with the fertilization process.
It minimizes operational strain and reduces the need for extensive embryologist training associated with manual ICSI.
Introduction
C:ICSI leverages AI, robotic systems, and machine vision to consistently execute the numerous precision tasks associated with ICSI. It automates and standardizes sperm selection and injection. It minimizes operational strain, and reduces the need for extensive embryologist training, and human technique variability associated with manual ICSI.
Key Features
Enhanced Sperm Selection & Immobilization
Optimized Oocyte Handling
Consistent Precision Injection
Reduced Operator Stress
Benefits
Consistency
C:ICSI’s robotic precision is enhanced by multiple AI systems, ensuring rapid and accurate confirmation of the oocyte’s location and orientation. The AI systems position the robotic arms to hold the oocyte, select the highest quality sperm and position the injection needle while adjusting for penetration depth. Using C:DISH prepared Petri dishes, standard pipette procedures, and standard media handling, C:ICSI operates without the variability that characterizes manual procedures.
Sterility & Safety
Operating in a controlled, clean environment, C:ICSI minimizes the risk of contamination by pipetting in a consistent, programmatic manner. Automated track-and-trace features ensure safe and accurate specimen management.
Relative Independence
C:ICSI can operate with minimal supervision. For instance, dishes with prepared sperm and oocytes are automatically retrieved from incubators and placed in the correct position under the microscope, followed by automated specimen identification, sperm selection, immobilization, loading, injection and finally, robotic transport to other AURA incubation chambers.
Efficiency
Automation reduces the time and effort required for ICSI, allowing embryologists to focus on other tasks within the assisted reproduction process. Automation optimizes procedures, timing, and verification, expected to improve both short-term KPIs, and clinical outcomes.
Conclusion
C:ICSI eliminates challenges typically associated with manual ICSI, including variability, contamination risks, operational strain, and extensive embryologist training. C:ICSI reduces human variability by leveraging AI, robotic systems, and machine vision to consistently execute the numerous precision tasks associated with this critical fertilization method.