Robotic Improved Micropipette Aspiration Method for Accurate Measurement of Cellular Mechanical Properties

For the first time, an improved robotic micropipette aspiration (MA) method considering the effects of the intra-cellular pressure, friction between cell and micropipette, and the micropipette opening size was proposed for improving the measurement accuracy of the cell elasticity properties in this paper. First, an elastic energy model of the aspirated cell was established to analyze the effects of intracellular pressure on MA results. Then a force analysis of MA process was conducted to evaluate the influences of the friction force between the cell surface and micropipette opening as well as the inner diameter of the micropipette opening to MA results. Based on the above work, an improved robotic MA process was developed for reducing the cell elasticity measurement errors through automated release of intracellular pressure, micropipette opening polishing and inner diameter control of the micropipette. The effectiveness of the above work was validated by both finite elemental model (FEM) and MA experiments. The MA results on porcine oocytes demonstrate that our proposed MA method can rectify the 20.11%, 35.08% and 6.80% measure errors of cell Young’s modulus caused by the above three factors, respectively. Our research may provide a more objective evaluation of cell mechanical properties in the related research.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3557110
Citations
1
Primary Topic
Electrospun Nanofibers in Biomedical Applications
Type
article
Field-Weighted Citation Impact
0.60

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article

Robotic Improved Micropipette Aspiration Method for Accurate Measurement of Cellular Mechanical Properties

Ruimin Li, Xin Zhao, Jinyu Qiu, Shaojie Fu et al.
1 citations
IEEE Transactions on Instrumentation and Measurement
Electrospun Nanofibers in Biomedical Applications
0.60
article

Robotic Improved Micropipette Aspiration Method for Accurate Measurement of Cellular Mechanical Properties

Ruimin Li, Xin Zhao, Jinyu Qiu, Shaojie Fu, Mengya Liu, Qili Zhao, Minghui Li, Detian Zhang
article en
1 citations

Abstract

For the first time, an improved robotic micropipette aspiration (MA) method considering the effects of the intra-cellular pressure, friction between cell and micropipette, and the micropipette opening size was proposed for improving the measurement accuracy of the cell elasticity properties in this paper. First, an elastic energy model of the aspirated cell was established to analyze the effects of intracellular pressure on MA results. Then a force analysis of MA process was conducted to evaluate the influences of the friction force between the cell surface and micropipette opening as well as the inner diameter of the micropipette opening to MA results. Based on the above work, an improved robotic MA process was developed for reducing the cell elasticity measurement errors through automated release of intracellular pressure, micropipette opening polishing and inner diameter control of the micropipette. The effectiveness of the above work was validated by both finite elemental model (FEM) and MA experiments. The MA results on porcine oocytes demonstrate that our proposed MA method can rectify the 20.11%, 35.08% and 6.80% measure errors of cell Young’s modulus caused by the above three factors, respectively. Our research may provide a more objective evaluation of cell mechanical properties in the related research.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Nankai University (CN), Robotics Research (United States) (US)
National Natural Science Foundation of China, Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 35%
Electrospun Nanofibers in Biomedical Applications
0.60
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