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Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis

To analyze the observed cell motility in an optically induced dielectrophoretic force, this paper describes an optical flow based automatic cell motion tracking algorithm. The optical flow measurement in the microscopic video sequences is used to estimate the 3D motion in the dielectrophoresis force fields, including rotation and translational motion. The rotation speed of the cells can be estimated automatically by analyzing each frame of a video sequences. When compare to the more tedious manual estimation process, it has been demonstrated to accurately calculate the ODEP-induced rotation rate of the cell at various applied voltages, frequencies, and waveforms. This micro vision based analyzing algorithms used for the automatic cell kinetic analysis will facilitate transfer of laboratory experiments to the automatic clinical diagnosis.