透明带
卵母细胞
人类受精
仿形(计算机编程)
人工神经网络
缩进
材料科学
计算机科学
生物
生物医学工程
生物系统
胚胎
解剖
人工智能
细胞生物学
工程类
复合材料
操作系统
作者
Samuel C. Lamont,Juliette Fropier,Joël Abadie,Emmanuel Piat,Andreï Constantinescu,Franck J. Vernerey
标识
DOI:10.1016/j.jmbbm.2022.105640
摘要
The success rate of assisted reproductive technologies could be greatly improved by selectively choosing egg cells (oocytes) with the greatest chance of fertilization. The goal of mechanical profiling is, thus, to improve predictive oocyte selection by isolating the mechanical properties of oocytes and correlating them to their reproductive potential. The restrictions on experimental platforms, however - including minimal invasiveness and practicality in laboratory implementation - greatly limits the data that can be acquired from a single oocyte. In this study, we perform indentation studies on human oocytes and characterize the mechanical properties of the zona pellucida, the outer layer of the oocyte. We obtain excellent fitting with our physical model when indenting with a flat surface and clearly illustrate localized shear-thinning behavior of the zona pellucida, which has not been previously reported. We conclude by outlining a promising methodology for isolating the mechanical properties of the cytoplasm using neural networks and optical images taken during indentation.
科研通智能强力驱动
Strongly Powered by AbleSci AI