Design Of A Software Platform For Micro/Nano Manipulation By Optically Induced Dielectrophoresis

Manipulation of micro/nano particles,tubes is one of the research hotspots in micro/nano science and manufacturing technology in recent years.Optically induced dielectrophoresis which takes the advantages of optical tweezers and traditional dielectric electrophoresis is a widely used micro-nano manipulation technique.By a patterned light shining on the surface of photoconductive materials,the corresponding conductive electrodes can be generated to provide a dynamically reconfigurable dielectrophoresis based manipulation of micro/nano particles.In this thesis,targeted to build a manipulation system of optically induced dielectrophoresis,a software platform is designed with functions of image acquisition,feature information extraction,object tracking and virtual electrode graphics rendering.The software platform is based on LABVIEW virtual instrument platform and the programming of MATLAB,mainly composed of three modules,i.e.,object information acquisition module,object tracking module and virtual electrode design module.In this platform,the position and geometric feature of the object to be manipulated are obtained by Hough transform of image processing of the continuously CCD-screened object.Through analysis and comparison of tracking algorithms based on Kalman filter,background subtraction algorithm and centroid tracking algorithm,we chose Kalman filter algorithm as the core algorithm of the tracking module of particles moving or being moved.In addition,the identification of target particles is realized by the image feature matching technology to monitor the object loss in its tracking procedure.According to the size of the object being manipulated and its target moving path,the light patterning to form the virtual electrode is designed.At the end,the particle tracking simulation is conducted.