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JoVE Journal
Developmental Biology
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A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
 

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Article DOI: 10.3791/56668 10:04 min March 3rd, 2018
March 3rd, 2018

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Summary

Here, we present a protocol for non-invasive assessment of oocyte developmental competence performed during their in vitro maturation from the germinal vesicle to the metaphase II stage. This method combines time-lapse imaging with particle image velocimetry (PIV) and neural network analyses.

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Tags

Neural Network-based Identification Developmentally Competent Oocytes Incompetent Oocytes Non-invasive Tool Oocyte Movements In Vitro Maturation Female Gamete Developmental Potential Time-lapse Imaging Particle Image Velocimetry Plasmic Movements Developmental Competence Infertility Premature Ovarian Failure Non-invasive Procedure Pregnancy Outcomes Mammalian Species Bovine
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