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基于神经网络的发育能力或不称职小鼠全生长卵母细胞的识别

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

在这里, 我们提出了一个非侵入性评估的卵母细胞发育能力在他们的体外成熟从生发泡到中期 II 阶段。该方法将时间推移成像与粒子图像测速 (PIV) 和神经网络分析相结合。

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