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 contamination risks, operational strain, and extensive embryologist training associated with manual ICSI.

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Introduction

C:ICSI leverages AI, robotic systems, and machine vision to consistently execute the numerous precision tasks associated with the fertilization process. It automates sperm selection and insemination, and standardizes sperm selection and injection. It minimizes contamination risks, operational strain, and extensive embryologist training, while reducing human variability associated with manual ICSI.

Key Features

  • Enhanced Sperm Selection & Immobilization

  • Optimized Oocyte Handling

  • Consistent Precision Insemination

  • 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 a holding pipette and attaches it to the oocyte. They 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 deviations existing in manual procedures. C:ICSI has been shown to outperform even the fastest, most highly trained embryologists.

Sterility & Safety

Operating in a controlled, sterile environment, C:ICSI minimizes the risk of contamination by pipetting in a consistent, programmatic manner. Automated track-and-trace features guarantee the safest, most accurate specimen management possible.

Relative Independence

C:ICSI can operate continuously compared to a manual lab with a single technician limited to performing only one procedure per workstation at a time. Automated procedures minimize supervision needs. 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, improving 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 process.