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DOI :
10.3791/56668-v
March 3rd, 2018
Chapters
0:00
Title
0:14
Introduction
2:03
Cumulus Oocyte Complex isolation
3:25
Oocyte classification with fluorochrome Hoechst 33342
4:56
Neural network-based oocyte classification
6:12
Results
9:38
Conclusion
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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