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Related Experiment Video

Updated: Mar 5, 2026

Using Mouse Oocytes to Assess Human Gene Function During Meiosis I

Using Mouse Oocytes to Assess Human Gene Function During Meiosis I

Published on: April 10, 2018

Imaging Chromosome Separation in Mouse Oocytes by Responsive 3D Confocal Timelapse Microscopy.

Simon I R Lane¹, Stephen Crouch², Keith T Jones³

¹Centre for Biological Sciences, Faculty and Natural and Environmental Sciences, University of Southampton, Life Sciences Building 85, University Road, Southampton, SO17 1BJ, UK. simon.lane@soton.ac.uk.

Methods in Molecular Biology (Clifton, N.J.)

|March 29, 2017

Summary

Maturing oocytes often make chromosome segregation errors. This study presents a novel live-imaging method to track chromosome movement and identify causes of mis-segregation during oocyte maturation.

Keywords:

Automation Imaging Microscopy Oocyte Software

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Last Updated: Mar 5, 2026

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Area of Science:

Cell Biology
Genetics
Developmental Biology

Background:

Accurate chromosome segregation is crucial for genetic stability.
Maturing mammalian oocytes are prone to segregation errors, impacting fertility.
Previous studies faced challenges in live oocyte chromosome imaging.

Purpose of the Study:

To develop and describe an advanced live-imaging technique for studying chromosome segregation in maturing oocytes.
To provide a transferable method for detailed live observation of chromosome dynamics.

Main Methods:

Utilizing fluorescently labeled chromosomes within live oocytes.
Tracking the "center of brightness" of chromosomes to monitor their movement.
Implementing the method on a Leica TCS SP8 confocal microscope with computer-aided microscopy.

Main Results:

Successfully established a detailed live-imaging method for oocyte maturation.
Demonstrated the feasibility of tracking chromosome dynamics in real-time.
The described software and experimental setup are transferable to other microscopy systems.

Conclusions:

The developed method offers a powerful tool for investigating chromosome segregation errors in oocytes.
This technique facilitates the identification of factors contributing to mis-segregation during oocyte maturation.
Advances in live imaging are essential for understanding reproductive cell biology.