用于生物研究的模块化机器人平台:细胞培养自动化和远程实验

Jungmin Hamm, Seonghyeon Lim, Jiae Park, Jiwon Kang, Injun Lee, Yoongeun Lee, Jiseok Kang, Youngjun Jo, Jaejin Lee, Seoyeong Lee, M. C. Ratri, A. I. Brilian, Seungyeon Lee, Seokhwan Jeong, Kwanwoo Shin
{"title":"用于生物研究的模块化机器人平台:细胞培养自动化和远程实验","authors":"Jungmin Hamm, Seonghyeon Lim, Jiae Park, Jiwon Kang, Injun Lee, Yoongeun Lee, Jiseok Kang, Youngjun Jo, Jaejin Lee, Seoyeong Lee, M. C. Ratri, A. I. Brilian, Seungyeon Lee, Seokhwan Jeong, Kwanwoo Shin","doi":"10.1002/aisy.202300566","DOIUrl":null,"url":null,"abstract":"Robotic arms are now commonplace in diverse settings and are poised to play a crucial role in automating laboratory tasks. However, biological experiments remain challenging for automation due to their dependence on human factors, such as researchers’ skills and experience. This article introduces robotic automation and remote control for both general and biological research tasks through a modularized platform comprising a robotic arm, auxiliary tools, and software. This platform facilitates fully automated or remote execution of key experiments in chemistry and biology, including liquid handling, mixing, cell seeding, culturing, and genetic manipulation. The robot interfaces seamlessly with standard laboratory equipment and operates remotely in real time through an online program. Integration of a vision system via robotic arm webcams ensures precise positioning and object localization, enhancing accuracy. This modularized robotic platform signifies a substantial advancement in lab automation, promising enhanced efficiency, reproducibility, and scientific progress compared to human‐led experiments.","PeriodicalId":7187,"journal":{"name":"Advanced Intelligent Systems","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Modular Robotic Platform for Biological Research: Cell Culture Automation and Remote Experimentation\",\"authors\":\"Jungmin Hamm, Seonghyeon Lim, Jiae Park, Jiwon Kang, Injun Lee, Yoongeun Lee, Jiseok Kang, Youngjun Jo, Jaejin Lee, Seoyeong Lee, M. C. Ratri, A. I. Brilian, Seungyeon Lee, Seokhwan Jeong, Kwanwoo Shin\",\"doi\":\"10.1002/aisy.202300566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robotic arms are now commonplace in diverse settings and are poised to play a crucial role in automating laboratory tasks. However, biological experiments remain challenging for automation due to their dependence on human factors, such as researchers’ skills and experience. This article introduces robotic automation and remote control for both general and biological research tasks through a modularized platform comprising a robotic arm, auxiliary tools, and software. This platform facilitates fully automated or remote execution of key experiments in chemistry and biology, including liquid handling, mixing, cell seeding, culturing, and genetic manipulation. The robot interfaces seamlessly with standard laboratory equipment and operates remotely in real time through an online program. Integration of a vision system via robotic arm webcams ensures precise positioning and object localization, enhancing accuracy. This modularized robotic platform signifies a substantial advancement in lab automation, promising enhanced efficiency, reproducibility, and scientific progress compared to human‐led experiments.\",\"PeriodicalId\":7187,\"journal\":{\"name\":\"Advanced Intelligent Systems\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/aisy.202300566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/aisy.202300566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目前,机械臂已在各种环境中普遍使用,并将在实验室任务自动化方面发挥重要作用。然而,由于生物实验对研究人员的技能和经验等人为因素的依赖,其自动化仍具有挑战性。本文通过一个由机械臂、辅助工具和软件组成的模块化平台,介绍了适用于一般研究任务和生物研究任务的机器人自动化和远程控制。该平台有助于全自动或远程执行化学和生物学中的关键实验,包括液体处理、混合、细胞播种、培养和基因操作。机器人可与标准实验室设备无缝对接,并通过在线程序实时远程操作。通过机械臂网络摄像头集成的视觉系统可确保精确定位和物体定位,从而提高精确度。这种模块化机器人平台标志着实验室自动化的重大进步,与人类主导的实验相比,有望提高效率、可重复性和科学进步。
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
A Modular Robotic Platform for Biological Research: Cell Culture Automation and Remote Experimentation
Robotic arms are now commonplace in diverse settings and are poised to play a crucial role in automating laboratory tasks. However, biological experiments remain challenging for automation due to their dependence on human factors, such as researchers’ skills and experience. This article introduces robotic automation and remote control for both general and biological research tasks through a modularized platform comprising a robotic arm, auxiliary tools, and software. This platform facilitates fully automated or remote execution of key experiments in chemistry and biology, including liquid handling, mixing, cell seeding, culturing, and genetic manipulation. The robot interfaces seamlessly with standard laboratory equipment and operates remotely in real time through an online program. Integration of a vision system via robotic arm webcams ensures precise positioning and object localization, enhancing accuracy. This modularized robotic platform signifies a substantial advancement in lab automation, promising enhanced efficiency, reproducibility, and scientific progress compared to human‐led experiments.
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
自引率
0.00%
发文量
0
期刊最新文献
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints Design and Motion Controllability of Emerging Hydrogel Micro/Nanorobots Multiple Sampling Capsule Robot for Studying Gut Microbiome Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents
×
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