首页|Investigators at Nanjing University of Information Science and Technology (NUIST) Describe Findings in Robotics (A Fractional Viscoelastic Mechanical Model for Speed Optimization of Robotic Cell Microinjection)
Investigators at Nanjing University of Information Science and Technology (NUIST) Describe Findings in Robotics (A Fractional Viscoelastic Mechanical Model for Speed Optimization of Robotic Cell Microinjection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingoriginating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Roboticmicroinje ction has been widely applied in the biomedical field as an effective means of c ell micromanipulation.To improve the survival rate and efficiency of injection, the puncture speed should be designedproperly to minimize cell damage.”Financial support for this research came from Natural Science Foundation of Jian gsu Province.Our news editors obtained a quote from the research from the Nanjing University of Information Scienceand Technology (NUIST), “However, due to the complex visc oelastic mechanical properties of cells and thephysical constraints of microman ipulation systems, speed optimization has become a very challenging task.To thi s end, this article proposes a new fractional model to accurately describe the v iscoelastic mechanicalproperties of cells, and develops a speed optimization me thod based on this model to achieve minimal celldamage. Different from the trad itional integer models, the proposed model is implemented by introducinga fract ional viscoelastic element ‘spring-pot’ to replace the viscous damping in the cl assical standardlinear solid model. By this way, the model can simultaneously c haracterize the power-law relaxation andcreep behaviors of cells in microinject ion with higher accuracy and fewer parameters. In addition, withthe proposed mo del and a class of polynomials, the speed optimization problem is formulated and solvedto minimize the cell deformation subjected to physical constraints. To v erify the effectiveness of theproposed model and optimization algorithm, zebraf ish embryo injections are carried out on the designedrobotic micromanipulation system.”
NanjingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRoboticsRobotsNanjing University of Information Science and Technology (NUIST)
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