A Conversation with the Author of Automated Rotation Rate Tracking of Pigmented Cells by a Customized Block-Matching Algorithm

Summary: The authors preprocess each frame of a video sequence, then analyze the sequence frame by frame using a rotating-circle template with a block-matching algorithm, and estimate the rotation rate of the pigmented cells using a pixel-patch correlation. The algorithm accurately calculates DEP-induced rotation rates of cells up to 250 rpm even when cells have simultaneous translational and rotational motions across the video image sequence; and  can track changes in rotation speed over a long period of time (90 s).