Image processing algorithms for characterization of MEMS type micro-tweezers aperture
OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS(2022)
摘要
The goal of this work is to develop an accompanying software solution based on image processing techniques to characterize the microgripper's behavior as a function of voltage. To achieve this kind of work, a series of micro-tweezers with electro-thermal actuation are developed, which fulfill different functions: positioning, push-pull, gripping, able to be integrated in the robotic micromanipulation system. The actual micro-gripper is simulated as a MEMS micro-tweezers, considering also the manufacturing technology and the component materials. A specific contribution is to demonstrate the feasibility of applying image processing techniques to obtain accurate measurements of the aperture, starting from images with the gripper arms as regions of interest. In this way, the demonstrator can be used in medical applications, where cell manipulation needs enhanced precision.
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关键词
MEMS applications,Gripper arms,Filtering,SNR,Tracking
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