,

Yidi Zhang1,2, Han Zhao2, Zhenlin Chen2

  • 1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Tianjin Key Laboratory of Intelligent Robotic (tjKLIR), Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300350, China. zhaoxin@nankai.edu.cn.

Lab on a chip
|November 6, 2024
PubMed
概括

本研究介绍了一种用于体细胞核转移 (SCNT) 克隆,自动化卵细胞激活和胚胎电融合的机器人系统. 这种创新方法提高了批量克隆程序的效率和精度.