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JoVE Journal Developmental Biology
En neurala nätverksbaserade identifiering av utvecklingsmässigt behöriga eller inkompetent mus fullvuxen oocyter
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En neurala nätverksbaserade identifiering av utvecklingsmässigt behöriga eller inkompetent mus fullvuxen oocyter

Article DOI: 10.3791/56668-v • 10:04 min • March 3rd, 2018
March 3rd, 2018 •
1, 1, 1, 1,2, 1,3, 4, 1, 1
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

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Här presenterar vi ett protokoll för icke-invasiv bedömning av äggcell utvecklingsmässiga kompetens under deras i vitro mognad från den germinal vesikler till metafas II scenen. Denna metod kombinerar time-lapse imaging med particle image velocimetry (PIV) och neurala nätverk analys.

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Utvecklingsbiologi fråga 133 fullvuxen oocyter Germinal vesikler-till-metafas II övergången utvecklingsmässiga kompetens In Vitro mognad Time-Lapse Imaging cytoplasmiska rörelser Feed-Forward artificiella neurala nätverk
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