IEEE transactions on bio-medical engineering · 2025
Automation and Control of Embryo Trophectoderm Cell Biopsy at the Blastocyst Stage.
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Ajamieh Ihab Abu, Al Saaideh Mohammad, Al Janaideh Mohammad, Mills James K
Аннотация
OBJECTIVE: This study aims to develop and validate a vision-based automation framework for performing trophectoderm (TE) cell biopsy on mouse embryos.
METHOD: The proposed framework leverages widely available tools in research laboratories and In-Vitro fertilization (IVF) clinics, combined with computer vision and image-based control algorithms. A computer vision system first estimates the embryo's orientation to enable precise reorientation for zona pellucida (ZP) laser perforation. A vision-feedback control system then guides the embryo to the targeted perforation location and determines optimal laser parameters for ZP perforation. A vision-guided vacuum system aspirates the TE cells, with a multi-pulse laser ensuring their separation.
RESULTS: Experimental validation using mouse blastocyst embryos demonstrated the feasibility and reliability of the proposed automation method. The vision-based approach achieved accurate orientation, controlled ZP perforation, and successful isolation of TE cells, effectively replicating manual biopsy techniques performed by skilled embryologists.
CONCLUSION: The study presents a robust framework for automating embryo TE biopsy, reducing variability, and enhancing procedural precision. Integrating computer vision and control algorithms allows for consistent and reproducible results.
SIGNIFICANCE: By utilizing existing infrastructure, the proposed method offers a cost-effective and scalable solution for single-cell research and IVF clinics, advancing genetic testing and reproductive medicine.
METHOD: The proposed framework leverages widely available tools in research laboratories and In-Vitro fertilization (IVF) clinics, combined with computer vision and image-based control algorithms. A computer vision system first estimates the embryo's orientation to enable precise reorientation for zona pellucida (ZP) laser perforation. A vision-feedback control system then guides the embryo to the targeted perforation location and determines optimal laser parameters for ZP perforation. A vision-guided vacuum system aspirates the TE cells, with a multi-pulse laser ensuring their separation.
RESULTS: Experimental validation using mouse blastocyst embryos demonstrated the feasibility and reliability of the proposed automation method. The vision-based approach achieved accurate orientation, controlled ZP perforation, and successful isolation of TE cells, effectively replicating manual biopsy techniques performed by skilled embryologists.
CONCLUSION: The study presents a robust framework for automating embryo TE biopsy, reducing variability, and enhancing procedural precision. Integrating computer vision and control algorithms allows for consistent and reproducible results.
SIGNIFICANCE: By utilizing existing infrastructure, the proposed method offers a cost-effective and scalable solution for single-cell research and IVF clinics, advancing genetic testing and reproductive medicine.