用于细胞抓取和运输的磁性软微型机器人设计

IF 10.5 Q1 ENGINEERING, BIOMEDICAL Cyborg and bionic systems (Washington, D.C.) Pub Date : 2024-04-25 eCollection Date: 2024-01-01 DOI:10.34133/cbsystems.0109
Fanghao Wang, Youchao Zhang, Daoyuan Jin, Zhongliang Jiang, Yaqian Liu, Alois Knoll, Huanyu Jiang, Yibin Ying, Mingchuan Zhou
{"title":"用于细胞抓取和运输的磁性软微型机器人设计","authors":"Fanghao Wang, Youchao Zhang, Daoyuan Jin, Zhongliang Jiang, Yaqian Liu, Alois Knoll, Huanyu Jiang, Yibin Ying, Mingchuan Zhou","doi":"10.34133/cbsystems.0109","DOIUrl":null,"url":null,"abstract":"<p><p>Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especially when it comes to cell grasping and transportation. Various precise methods have been developed to remotely control the movement of microrobots. However, the manipulation of micro-objects necessitates the use of end-effectors. This paper presents a study on the control of movement and grasping operations of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cell grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method is adopted to accomplish the trajectory tracking task. Through experiments, we observe that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm. Remarkably, this value accounts for only 1.55% of the microrobot's size, demonstrating the efficacy and accuracy of our control strategy. Furthermore, an experiment involving the grasping and transportation of a zebrafish embryonic cell (diameter: 800 μm) is successfully conducted. The results of this experiment not only validate the precision and effectiveness of the proposed microrobot and its associated models but also highlight its tremendous potential for cell manipulation in vitro and in vivo.</p>","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"5 ","pages":"0109"},"PeriodicalIF":10.5000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11052606/pdf/","citationCount":"0","resultStr":"{\"title\":\"Magnetic Soft Microrobot Design for Cell Grasping and Transportation.\",\"authors\":\"Fanghao Wang, Youchao Zhang, Daoyuan Jin, Zhongliang Jiang, Yaqian Liu, Alois Knoll, Huanyu Jiang, Yibin Ying, Mingchuan Zhou\",\"doi\":\"10.34133/cbsystems.0109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especially when it comes to cell grasping and transportation. Various precise methods have been developed to remotely control the movement of microrobots. However, the manipulation of micro-objects necessitates the use of end-effectors. This paper presents a study on the control of movement and grasping operations of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cell grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method is adopted to accomplish the trajectory tracking task. Through experiments, we observe that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm. Remarkably, this value accounts for only 1.55% of the microrobot's size, demonstrating the efficacy and accuracy of our control strategy. Furthermore, an experiment involving the grasping and transportation of a zebrafish embryonic cell (diameter: 800 μm) is successfully conducted. The results of this experiment not only validate the precision and effectiveness of the proposed microrobot and its associated models but also highlight its tremendous potential for cell manipulation in vitro and in vivo.</p>\",\"PeriodicalId\":72764,\"journal\":{\"name\":\"Cyborg and bionic systems (Washington, D.C.)\",\"volume\":\"5 \",\"pages\":\"0109\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11052606/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cyborg and bionic systems (Washington, D.C.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34133/cbsystems.0109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyborg and bionic systems (Washington, D.C.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34133/cbsystems.0109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

摘要

人们普遍认为,在小尺度上操纵细胞是一项复杂而具有挑战性的任务,尤其是在细胞的抓取和运输方面。目前已开发出各种精确方法来远程控制微型机器人的运动。然而,操纵微型物体必须使用末端执行器。本文介绍了一项关于控制磁性微型机器人运动和抓取操作的研究,该机器人仅使用了 3 对电磁线圈。微机器人上采用了专门设计的微型抓取器,以实现高效的细胞抓取和运输。为确保精确抓取,制定了微抓手的弯曲变形模型,并随后进行了验证。为了精确可靠地将细胞运送到特定位置,我们采用了一种结合了扩展卡尔曼滤波器和模型预测控制方法的方法来完成轨迹跟踪任务。通过实验,我们发现应用所提出的控制策略,路径跟踪的平均绝对误差小于 0.155 毫米。值得注意的是,这一数值仅占微机器人体积的 1.55%,这证明了我们的控制策略的有效性和准确性。此外,我们还成功地进行了抓取和运输斑马鱼胚胎细胞(直径:800 微米)的实验。该实验的结果不仅验证了所提出的微型机器人及其相关模型的精确性和有效性,还凸显了其在体外和体内细胞操作方面的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Magnetic Soft Microrobot Design for Cell Grasping and Transportation.

Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especially when it comes to cell grasping and transportation. Various precise methods have been developed to remotely control the movement of microrobots. However, the manipulation of micro-objects necessitates the use of end-effectors. This paper presents a study on the control of movement and grasping operations of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cell grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method is adopted to accomplish the trajectory tracking task. Through experiments, we observe that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm. Remarkably, this value accounts for only 1.55% of the microrobot's size, demonstrating the efficacy and accuracy of our control strategy. Furthermore, an experiment involving the grasping and transportation of a zebrafish embryonic cell (diameter: 800 μm) is successfully conducted. The results of this experiment not only validate the precision and effectiveness of the proposed microrobot and its associated models but also highlight its tremendous potential for cell manipulation in vitro and in vivo.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
21 weeks
期刊最新文献
Multi-Section Magnetic Soft Robot with Multirobot Navigation System for Vasculature Intervention. Advances in Biointegrated Wearable and Implantable Optoelectronic Devices for Cardiac Healthcare. Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. Modeling Grid Cell Distortions with a Grid Cell Calibration Mechanism. Federated Abnormal Heart Sound Detection with Weak to No Labels.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1