APPLICATION OF KALMAN FILTER IN THE RESEARCH OF MOLECULAR DYNAMIC PROCESSES IN LIVING CELLS
In this report, we developed a method for tracking the dynamics of molecules in total internal reflection fluorescence (TIRF) images of living cells. After segmenting the moving fluorescence points from the original TIRF images by the background subtraction, a target tracking algorithm based on Kalman filter was realized by the forecast function to predict the target region that may arise in the next frame, so that we can proceed to match operator in the smaller estimation range. The algorithm overcomes the shortcomings of the global search. The results showed that the present tracking algorithm can successfully trace a moving point from a large number of TIRF images, and predict the location and its trajectory of the moving fluorescence points accurately. The present imaging processing methods is useful in the study of dynamics of molecules by TIRF and confocal laser scanning microscopy.
Kalman filter TIRF Imaging process Living cells
Meng Hao Tian Tian Yan Shancheng Xiao Zhongdang
State Key Laboratory of Bioelectronics,School of Biological Science and Medical Engineering, Southea State Key Laboratory of ioelectronics, School of Biological Science and Medical Engineering, Southea State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southe
国际会议
The 6th International Forum on Post-genome Technologies(6IFPT)(第六届国际后基因组生命科学技术学术论坛)
北京
英文
193-195
2009-09-17（万方平台首次上网日期，不代表论文的发表时间）