Pan Xiaoqing, Gao Kang, Yang Ning, Wang Yafei, Zhang Xiaodong, Shao Le, Zhai Pin, Qin Feng, Zhang Xia, Li Jian, Wang Xinglong, Yang Jie
Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Front Vet Sci. 2022 Jun 30;9:916861. doi: 10.3389/fvets.2022.916861. eCollection 2022.
Sperm quality assessment is the main method to predict the reproductive ability of livestock. The detection of sperm quality of livestock is of great significance to the application of artificial insemination and fertilization. In order to comprehensively evaluate sperm quality and improve the real-time and portability of sperm quality detection, a portable microscopic imaging system based on microfluidic chip is developed in this paper. The system can realize the comprehensive evaluation of sperm quality by detecting sperm vitality and survival rate. On the hardware side, a microfluidic chip is designed, which can automatically mix samples. A set of optical system with a magnification of 400 times was developed for microscopic observation of sperm. In the aspect of software, aiming at the comprehensive evaluation of sperm quality based on OpenCV, a set of algorithms for identifying sperm motility and survival rate is proposed. The accuracy of the system in detecting sperm survival rate is 94.0%, and the error rate is 0.6%. The evaluation results of sperm motility are consistent with those of computer-aided sperm analysis (CASA). The system's identification time is 9 s. Therefore, the system is absolutely suitable for sperm quality detection.
精子质量评估是预测家畜繁殖能力的主要方法。家畜精子质量检测对人工授精和受精的应用具有重要意义。为了全面评估精子质量,提高精子质量检测的实时性和便携性,本文开发了一种基于微流控芯片的便携式显微成像系统。该系统可通过检测精子活力和存活率实现对精子质量的全面评估。在硬件方面,设计了一种能自动混合样本的微流控芯片。开发了一套放大倍数为400倍的光学系统用于精子的显微观察。在软件方面,针对基于OpenCV的精子质量综合评估,提出了一套识别精子活力和存活率的算法。该系统检测精子存活率的准确率为94.0%,错误率为0.6%。精子活力评估结果与计算机辅助精子分析(CASA)结果一致。系统的识别时间为9秒。因此,该系统绝对适用于精子质量检测。