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Three-dimensional rotation of mouse embryos.

Clement Leung1, Zhe Lu, Xuping P Zhang

  • 1Advanced Micro and Nanosystems Laboratory, University of Toronto, Toronto, ON, Canada. clement.leung@utoronto.ca

IEEE Transactions on Bio-Medical Engineering
|January 11, 2012
PubMed
Summary

This study introduces an automated system for 3-D rotational control of mammalian oocytes and embryos, improving polar body orientation for clinical applications. The new method achieves 90% success, enhancing precision and speed over manual techniques.

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Area of Science:

  • Biomedical Engineering
  • Developmental Biology
  • Cell Biology

Background:

  • 3-D rotation of mammalian oocytes/embryos is crucial for research and clinical applications like microinjection.
  • Current manual methods for cell rotation are trial-and-error, leading to poor reproducibility and inconsistency.
  • Automated, noninvasive techniques are needed for precise 3-D rotational control of single cells.

Purpose of the Study:

  • To develop and evaluate a system for automated, real-time 3-D rotational control of mouse embryos.
  • To enable precise orientation of the polar body for improved cell manipulation tasks.
  • To overcome the limitations of manual, trial-and-error cell rotation methods.

Main Methods:

  • Real-time tracking of the polar body in mouse embryos.
  • Integration of multiple motion control devices for automated rotation.
  • Development of a systematic technique for noninvasive, 3-D rotational control.

Main Results:

  • The automated system achieved a 90% success rate for polar body orientation.
  • High accuracy of 1.9° was demonstrated in rotational control.
  • Average cell processing time was 22.8 seconds, significantly faster than manual operation (40 seconds).

Conclusions:

  • The developed system offers a highly successful and accurate method for automated 3-D rotational control of mouse embryos.
  • This automated approach significantly improves efficiency and consistency in cell manipulation tasks.
  • The system provides a viable alternative to manual methods, enhancing reproducibility in research and clinical settings.