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

Federica Cavalera; Mario Zanoni; Valeria Merico; Thi Thu Hien Bui; Martina Belli; Lorenzo Fassina; Silvia Garagna; Maurizio Zuccotti

doi:10.3791/56668

Journal

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Developmental Biology

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

JoVE Journal
Developmental Biology
Author Produced

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JoVE Journal Developmental Biology

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

6,635 Views

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10:04 min

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March 03, 2018

DOI:

10.3791/56668-v

DOI:

10.3791/56668-v

•

10:04 min

March 03, 2018

•

6599 Views

Federica Cavalera¹, Mario Zanoni¹, Valeria Merico¹, Thi Thu Hien Bui^1,2, Martina Belli^1,3, Lorenzo Fassina⁴, Silvia Garagna¹, Maurizio Zuccotti¹

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

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.