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Biological cell motion tracking in dielectrophoresis (DEP) levitation feedback control system

In this paper, a novel hierarchical adaptive merge/split structured mesh (HAMSM) approach that is used in biological cell tracking is presented. This approach takes advantage of the motion of a single biological cell to extract it. After generating a moving object region in a current frame, the best match is determined in the next frame by performing image correlation matching, computed by convolving the object's intensity template over candidate regions in the new image. This method is not influenced by the blurred edges of the biological cells. It outperforms the intensity-based algorithms. This approach needs no manual initialization. In this paper it is demonstrated on a biological cell sequence and is compared with the frame difference (FD) algorithm and the dense motion fields algorithm.