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In the dielectrophoresis cell experiments, the cells’ rotational speed detected plays an important factor in efficiency. Human eye detection is low efficiency and the test cycle is long. It cannot meet the high-throughput cell speed detection requirements. A kind of real-time method to detect dielectrophoresis cell movement parameter by circular window and feature point tracking is introduced. The matching of circular window templates and the matching of feature point are emphasized. The experiments based on C++ show that the static image processing algorithm can accurately segment the cell unit, and dynamic image processing algorithm can match feature points effectively. Relative error of cell rotation speed is less than 1%, which meets the design requirements.