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....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.展开更多
基金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].
文摘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.
文摘[目的]明确100 g/L溴虫氟苯双酰胺悬浮剂对烟田棉铃虫的防治效果及相关酶活性的影响,为田间应用提供科学依据。[方法]采用人工饲料药膜法测定溴虫氟苯双酰胺对棉铃虫的室内生物活性,明确亚致死浓度对3种酶活性的影响,通过田间药效试验明确其对棉铃虫的防治效果。[结果]室内生物活性测定结果表明,处理72 h后,溴虫氟苯双酰胺对棉铃虫LC_(50)为0.457 mg/L,室内活性显著高于高效氯氟氰菊酯(25.222 mg/L);LC_(10)处理显著影响棉铃虫的解毒酶活性,其中谷胱甘肽-S-转移酶和羧酸酯酶酶活性分别为对照组的2.48、2.77倍,多功能氧化酶活性则为对照组的58.56%。田间药效结果表明,施药后第1天,100 g/L溴虫氟苯双酰胺悬浮剂(10.5、15.0、19.5 g a.i./hm^(2))对棉铃虫的防效为85.77%~89.31%,施药后第10天的防效为89.75%~98.65%,均显著高于对照药剂10%高效氯氟氰菊酯微乳剂。[结论]溴虫氟苯双酰胺对棉铃虫具有较好的速效性和持效性,推荐用量为10.5 g a.i./hm^(2),谷胱甘肽-S-转移酶和羧酸酯酶在棉铃虫对抗溴虫氟苯双酰胺中发挥一定作用。
