Detection and tracking of clathrin-coated pits in biological images  

作　　者：LIU ZhiFeng GE Yun ZHANG Dong ZHOU XiaoBo 

机构地区：[1]School of Electronic Science and Engineering,Nanjing University,Nanjing 210093,China [2]HCNR-Center for Bioinformatics,Harvard Medical School,MA 02215,USA

出　　处：《Chinese Science Bulletin》2012年第7期729-735,共7页

基　　金：supported by the National Basic Research Program of China (2011CB707900);the National Natural Science Foundation of China (10974093, 11174141);the Fundamental Research Funds for the Central Universities (1103020402, 1116020410 and 1112020401)

摘　　要：Dynamically tracking hundreds of individual pits is essential to determine whether there exist "hot spots" for the formation of clathrin-coated pits or if the pits formed randomly on the plasma membrane. We propose an automated approach to detect these particles based on an improved á trous wavelet transform decomposition with automatic threshold selection and post processing solution, and to track the dynamic process with a greedy algorithm. The results indicate that the detection method can successfully detect most particles in an image with accuracy of 98.61% and 97.65% for adaptor and clathrin images, respectively, and that the tracking algorithm can resolve merging and splitting issues encountered when analyzing dynamic, live-cell images of clathrin assemblies.Dynamically tracking hundreds of individual pits is essential to determine whether there exist ＂hot spots＂ for the formation of clathrin-coated pits or if the pits formed randomly on the plasma membrane. We propose an automated approach to detect these particles based on an improved a trous wavelet transform decomposition with automatic threshold selection and post processing solution, and to track the dynamic process with a greedy algorithm. The results indicate that the detection method can successfully detect most particles in an image with accuracy of 98.61% and 97.65% for adaptor and clathrin images, respectively, and that the tracking algorithm can resolve merging and splitting issues encountered when analyzing dynamic, live-cell images of clathrin assemblies.

关 键 词：检测精度 生物图像 动态跟踪 网格 小波变换 阈值选择 贪婪算法 跟踪算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U412.366[自动化与计算机技术—计算机科学与技术]