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A Sperm Quality Detection System Based on Microfluidic Chip and Micro-Imaging System.
Pan, Xiaoqing; Gao, Kang; Yang, Ning; Wang, Yafei; Zhang, Xiaodong; Shao, Le; Zhai, Pin; Qin, Feng; Zhang, Xia; Li, Jian; Wang, Xinglong; Yang, Jie.
Afiliação
  • Pan X; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Gao K; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
  • Yang N; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
  • Wang Y; School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
  • Zhang X; School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
  • Shao L; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Zhai P; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Qin F; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Zhang X; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Li J; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
  • Wang X; College of Animal Science and Technology, Yangzhou University, Yangzhou, China.
  • Yang J; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Front Vet Sci ; 9: 916861, 2022.
Article em En | MEDLINE | ID: mdl-35847648
ABSTRACT
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 in vitro 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Front Vet Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Front Vet Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China