首页|期刊导航|Biomedical Engineering Communications|Exploring recent breakthroughs in robotic biomechanical and electrophysiological measurement tools

Exploring recent breakthroughs in robotic biomechanical and electrophysiological measurement toolsOA

中文摘要

Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function.Despite their high-quality information content,these single-cell measuring techniques suffer from laborious manual processing by highly skilled workers and extremely low throughput(tens of cells per day).Recently,numerous researchers have automated the measurement of cell mechanical and electrical signals through robotic localization and control processes.While these efforts have demonstrated promising progress,critical challenges persist,including human dependency,learning complexity,in-situ measurement,and multidimensional signal acquisition.To identify key limitations and highlight emerging opportunities for innovation,in this review,we comprehensively summarize the key steps of robotic technologies in single-cell biomechanics and electrophysiology.We also discussed the prospects and challenges of robotics and automation in biological research.By bridging gaps between engineering,biology,and data science,this work aims to stimulate interdisciplinary research and accelerate the translation of robotic single-cell technologies into practical applications in the life sciences and medical fields.

Hui-Yao Shi;Si Tang;Jia-Lin Shi;Peng Yu;Chan-Min Su;Lian-Qing Liu

State Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,ChinaState Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,China University of the Chinese Academy of Sciences,Beijing 100049,ChinaState Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,ChinaState Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,ChinaState Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,ChinaState Key Laboratory of Robotics and Intelligent Systems,Shenyang Institute of Automation,Chinese Academy of Sciences(CAS),Shenyang 110016,China

信息技术与安全科学

biomechanicselectrophysiologymicro-nano manipulationautomated cell measurementrobotics

《Biomedical Engineering Communications》 2026 (1)

P.35-47,13

the National Natural Science Foundation of China[62525301,62127811,62433019]the New Cornerstone Science Foundation through the XPLORER PRIZEthe financial support by the China Postdoctoral Science Foundation[GZB20240797].

10.53388/BMEC2026005

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