Title | Robotic Intracellular Electrochemical Sensing for Adherent Cells |
Author | |
Joint first author | Weikang,Hu; Yanmei,Ma |
Publication Years | 2022-09-02
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DOI | |
Source Title | |
ISSN | 2692-7632
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Volume | 2022Issue:9763420Pages:1-12 |
Abstract | Nanopipette-based observation of intracellular biochemical processes is an important approach to revealing the intrinsic characteristics and heterogeneity of cells for better investigation of disease progression or early disease diagnosis. However, the manual operation needs a skilled operator and faces problems such as low throughput and poor reproducibility. This paper proposes an automated nanopipette-based microoperation system for cell detection, three-dimensional nonovershoot positioning of the nanopipette tip in proximity to the cell of interest, cell approaching and proximity detection between nanopipette tip and cell surface, and cell penetration and detection of the intracellular reactive oxygen species (ROS). A robust focus algorithm based on the number of cell contours was proposed for adherent cells, which have sharp peaks while retaining unimodality. The automated detection of adherent cells was evaluated on human umbilical cord vein endothelial cells (HUVEC) and NIH/3T3 cells, which provided an average of 95.65% true-positive rate (TPR) and 7.59% false-positive rate (FPR) for in-plane cell detection. The three-dimensional nonovershoot tip positioning of the nanopipette was achieved by template matching and evaluated under the interference of cells. Ion current feedback was employed for the proximity detection between the nanopipette tip and cell surface. Finally, cell penetration and electrochemical detection of ROS were demonstrated on human breast cancer cells and zebrafish embryo cells. This work provides a systematic approach for automated intracellular sensing for adherent cells, laying a solid foundation for high-throughput detection, diagnosis, and classification of different forms of biochemical reactions within single cells. |
Degree Discipline | 工学::生物医学工程(可授工学、理学、医学学位)
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URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | First
; Corresponding
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Publisher | |
Data Source | 人工提交
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Publication Status | 正式出版
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/415838 |
Department | Department of Mechanical and Energy Engineering |
Affiliation | 1.Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China 2.Department of Mechatronics Engineering, National University of Sciences and Technology, Islamabad, Pakistan 3.Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, China |
First Author Affilication | Department of Mechanical and Energy Engineering |
First Author's First Affilication | Department of Mechanical and Energy Engineering |
Recommended Citation GB/T 7714 |
Weikang,Hu,Yanmei,Ma,Zhen,Zhan,et al. Robotic Intracellular Electrochemical Sensing for Adherent Cells[J]. Cyborg and Bionic Systems,2022,2022(9763420):1-12.
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APA |
Weikang,Hu,Yanmei,Ma,Zhen,Zhan,Danish,Hussain,&Chengzhi,Hu.(2022).Robotic Intracellular Electrochemical Sensing for Adherent Cells.Cyborg and Bionic Systems,2022(9763420),1-12.
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MLA |
Weikang,Hu,et al."Robotic Intracellular Electrochemical Sensing for Adherent Cells".Cyborg and Bionic Systems 2022.9763420(2022):1-12.
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