科研之友
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摘要
Behaviors of platonic bacteria individuals are profoundly influenced by their interplay. However, probing such interplay still remains a challenge since identification and tracking of bacterial individuals becomes difficult as they come close and interact with each other. Herein, we report 3D tracking of the motions of multiple bacteria by using digital holographic microscopy (DHM), where the subtle 3D behaviors can be characterized as bacteria approach and run away from each other. An algorithm was developed to identify and recover the gap between 3D trajectory segments raising by the interruption from other bacteria through lateral image recognition and axial loalization utilizing cost function. We value the performance of the algorithm in terms of the statistics in trajectory length and correct rate. The study clearly shows how the interplaying Escherichia coli alter their motions.
