Multiple cells tracking by firework algorithm

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 novel firework explosion searching behavior based tracking algorithm is proposed to tracking multiple cells in fluorescence image sequences in this paper. Each firework (spark) determines the state and then adjusts its following explosion according to cell detection position heuristic information. Simulation results verify the effectiveness of the methods.