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JoVE Journal Developmental Biology
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
 
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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

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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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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发育生物学 问题 133 完全生长的卵母细胞 胚泡-中期 II 过渡 发育能力,体外成熟 时间推移成像 细胞质运动 前馈人工神经网络
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