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A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
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10:04 min
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March 03, 2018
DOI:
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
Summary
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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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Cavalera, F., Zanoni, M., Merico, V., Bui, T. T. H., Belli, M., Fassina, L., Garagna, S., Zuccotti, M. A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes. J. Vis. Exp. (133), e56668, doi:10.3791/56668 (2018).
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