Multiple neutrophils tracking in vitro array using high-order temporal information
- Resource Type
- Conference
- Authors
- Yang, Fan; Soroush, Fariborz; Deng, Ge; Yu, Sijia; Chu, Peng; Kiani, Mohammad F.; Ling, Haibin
- Source
- 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) IEEE Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual International Conference of the. :1-4 Jul, 2018
- Subject
- Bioengineering
Tensile stress
Trajectory
Optimization
Target tracking
Microscopy
Heuristic algorithms
- Language
- ISSN
- 1558-4615
It is crucial to dynamically analyze the movement of neutrophils (a type of white cell) during the process of inflammation. However, manually tracking and analyzing the cells is a time-consuming task due to the large volume of cells and similar appearance. To facilitate neutrophils analysis and address the issues mentioned above, we propose to leverage high-order temporal information as a cue to track neutrophils. A tensor-based approach is introduced to encode the high-order motion pattern and appearance variation for multi-frame multicell association. To evaluate the proposed method, we collected 354 sequences of cells from 200 frames of microscopic images. We conduct a systematic study on the collected data and show significant performance improvement over other solutions.