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Cell segmentation and motion tracking in time-lapse images are fundamental problems in computer vision, and are also crucial for various biomedical studies. Myxococcus xanthus is a type of rod-like cells with highly coordinated motion. The segmentation and tracking of M. xanthus are challenging, because cells may touch tightly and form dense swarms that are difficult to identify individually in an...
Intense current research requires quantitative analysis of cell behaviours in dense cell populations. The low contrast cellular image quality, diversity of cell shapes, frequent cell interactions, and complex cell motions all pose significant problems to the efficient and robust cell tracking in phase contrast cellular images. We have proposed an automated cell tracking system based on active contours...
Segmentation and tracking of cells is important step in cell motility studies. Over the past two decades, researchers have developed powerful methods for detecting and tracking the living cells. To improve the overall living cells tracking systems performance, we focused on developing a novel algorithm for image processing. This paper presents novel image segmentation and tracking system technique...
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