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Measuring shape and motion of white blood cells from sequences of fluorescence microscopy images

We present an image analysis system developed to measure the motion of white blood cells from a temporal sequence of uorescence microscopy images. A two-pass spatio-temporal segmentation system is used. Pixels are classied as cell and background pixels by an initial segmentation in the rst pass. Region labeling, correction and cell tracking are done in the second pass. After segmentation, shape features are estimated from binary discrete regions, and cell motion is then measured by using shape features. A supervised method based on shape features is used to evaluate the results of the segmentation.