Multi-cell Interaction Tracking Algorithm for Colliding and Dividing Cell Dynamic Analysis

摘要：

　　Cell motion analysis contributes to research the mechanism of the inflammatory process and to the development of anti-inflammatory drugs.This paper aims to develop an accurate and robust algorithm to track multiple colliding cells and further characterize the dynamics of each cell.First, a hybrid cell detection algorithm is proposed to obtain reliable measurements in cell collision images.Second, a variant of interacting multiple models particle filter is designed for analysis of cell motion behaviors.The simulation results show that our algorithm could obtain favorable performance compared with other methods.

关键词： Cell Segmentation Cell Tracking Interacting Multiple Models Particle Filter

作者: Mingli Lu Benlian Xu Andong Sheng Peiyi Zhu

作者单位: School of Automation, Nanjing University of Science & Technology,210094 Nanjing, China;School of Ele School of Electrical & Automatic Engineering, Changshu Institute of Technology, 215500 Changshu, Chi School of Automation, Nanjing University of Science & Technology,210094 Nanjing, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 316-324

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）