Micromanipulation Robot for Blood Viscoelasticity Testing

In order to solve the problems of low force control accuracy, large sample loss and complex operation in the existing liquid viscoelasticity measurement methods, this paper proposes a new viscoelasticity detection method based on a dual-probe micro-manipulation robot system. This method combines microscopic vision technology and model predictive control algorithm to achieve horizontal stretching and precise stress loading of tiny droplet samples. During the research process, the probe structure was designed and optimized to ensure the stability and measurement accuracy of the droplet during the test. The system captures the tiny deformation of the force measuring probe through a microscopic camera, calculates the mechanical parameters applied to the sample, and successfully performs viscoelastic tests on different liquid materials. The results show that the system can accurately distinguish the viscoelastic characteristics of different liquids, verifying its feasibility and reliability in viscoelasticity measurement at the microscale.