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Multiple cells dynamics analysis through fluorescence microscopy imaging requires simultaneously tracking large and time-varying number cells in noisy image sequences. Such process is characterized as a challenging task due to several roadblocks including the severe image noise and clutter, the occlusion of one cell by others, and the weak image contrast. To gain full dynamics of multiple cells, a...
The nearest neighbor association method is the most common approach for multi-cell tracking, but it is easily prone to errors in the case of high-density population with cell division, occlusion and uneven motion. In this paper, we propose a generalized data association approach with a combination of information including the distance of cell position, dynamics and morphology. To address the incompatibility...
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