Modeling and Evaluation of Penetration Process Based on 3D Mechanical Simulation
In biological micromanipulation, cell penetration is a typical procedure that precedes cell injection or oocyte enucleation. During this procedure, cells usually undergo significant deformation, which leads to cell damage. In this paper, we focus on modeling and evaluating the cell penetration proce...
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| Published in | Sensors (Basel, Switzerland) Vol. 24; no. 21; p. 6988 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
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| Abstract | In biological micromanipulation, cell penetration is a typical procedure that precedes cell injection or oocyte enucleation. During this procedure, cells usually undergo significant deformation, which leads to cell damage. In this paper, we focus on modeling and evaluating the cell penetration process to reduce cell deformation and stress, thereby reducing cell damage. Initially, a finite element model (FEM) is established to simulate the cell penetration process. The effectiveness of the model is then verified through visual detection and comparison of cell deformation with experimental data. Next, various mechanical responses are analyzed, considering the influence of parameters, such as the radius and shape of the injection micropipettes, material properties, and size of the cells. Finally, the relationship between the intracellular stress and the cell penetration depth of biological cells is obtained. The evaluation results will be applied to develop optimized operation plans, enhancing the efficiency and safety of the cell penetration process. |
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| AbstractList | In biological micromanipulation, cell penetration is a typical procedure that precedes cell injection or oocyte enucleation. During this procedure, cells usually undergo significant deformation, which leads to cell damage. In this paper, we focus on modeling and evaluating the cell penetration process to reduce cell deformation and stress, thereby reducing cell damage. Initially, a finite element model (FEM) is established to simulate the cell penetration process. The effectiveness of the model is then verified through visual detection and comparison of cell deformation with experimental data. Next, various mechanical responses are analyzed, considering the influence of parameters, such as the radius and shape of the injection micropipettes, material properties, and size of the cells. Finally, the relationship between the intracellular stress and the cell penetration depth of biological cells is obtained. The evaluation results will be applied to develop optimized operation plans, enhancing the efficiency and safety of the cell penetration process. |
| Audience | Academic |
| Author | Liu, Yaowei Zhou, Lu Sun, Mingzhu Zhao, Xin Chen, Xiaohan Yang, Bin Wang, Zengshuo Gong, Huiying |
| AuthorAffiliation | 2 Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518083, China 1 National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, Nankai University, Tianjin 300350, China; stuchenxiaohan@163.com (X.C.); 2120190360@mail.nankai.edu.cn (H.G.); 2120210384@mail.nankai.edu.cn (B.Y.); zengshuowang@mail.nankai.edu.cn (Z.W.); liuyaowei@mail.nankai.edu.cn (Y.L.); zhoulu@nankai.edu.cn (L.Z.); zhaoxin@nankai.edu.cn (X.Z.) |
| AuthorAffiliation_xml | – name: 1 National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, Nankai University, Tianjin 300350, China; stuchenxiaohan@163.com (X.C.); 2120190360@mail.nankai.edu.cn (H.G.); 2120210384@mail.nankai.edu.cn (B.Y.); zengshuowang@mail.nankai.edu.cn (Z.W.); liuyaowei@mail.nankai.edu.cn (Y.L.); zhoulu@nankai.edu.cn (L.Z.); zhaoxin@nankai.edu.cn (X.Z.) – name: 2 Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518083, China |
| Author_xml | – sequence: 1 givenname: Xiaohan surname: Chen fullname: Chen, Xiaohan – sequence: 2 givenname: Huiying orcidid: 0000-0002-7765-8818 surname: Gong fullname: Gong, Huiying – sequence: 3 givenname: Bin surname: Yang fullname: Yang, Bin – sequence: 4 givenname: Zengshuo orcidid: 0009-0008-0290-2231 surname: Wang fullname: Wang, Zengshuo – sequence: 5 givenname: Yaowei surname: Liu fullname: Liu, Yaowei – sequence: 6 givenname: Lu surname: Zhou fullname: Zhou, Lu – sequence: 7 givenname: Xin surname: Zhao fullname: Zhao, Xin – sequence: 8 givenname: Mingzhu orcidid: 0000-0002-9179-9668 surname: Sun fullname: Sun, Mingzhu |
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| SubjectTerms | cell penetration Cytoplasm Deformation finite element simulation force and deformation intracellular stress micromanipulation Sensors Simulation |
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| Title | Modeling and Evaluation of Penetration Process Based on 3D Mechanical Simulation |
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