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

DOI :

10.3791/56668-v

March 3rd, 2018

March 3rd, 2018

6,437 Views

1Laboratorio di Biologia dello Sviluppo, Dipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", University of Pavia, 2Institute of Biotechnology, University of Helsinki, 3Department of Reproductive Medicine, University of California San Diego, 4Dipartimento di Ingegneria Industriale e dell'Informazione, University of Pavia

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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Neural Network based Identification

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