计算机应用与软件Issue(6)：203-207,5.DOI:10.3969/j.issn.1000-386x.2015.06.050
基于荧光显微镜图像的神经丝自动跟踪
AUTOMATED NEUROFILAMENTS TRACKING BASED ON FLUORESCENCE MICROSCOPY IMAGES
摘要
Abstract
Neurofilaments are the long and flexible protein organic polymers which can move rapidly but randomly along the neural axon of nerve cells.Studying the movement of neurofilaments is important to the applications such as diagnosing the neurodegenerative diseases. Traditional methods rely to a large extent on manual labelling the neurofilaments on fluorescence microscopy images.Such manual tracking is very time-consuming in its implementation on a large number of images,and will bring quite a few human tracking errors.In the paper we present two fully automated neurofilaments tracking method:the particle filtering tracking algorithm and the detection tracking algorithm.In both two algorithms we all make use of the feature of neurofilament moving within the axon.In particle filtering algorithm,we confine the location and orientation of particles so that the numbers of particles used are significantly reduced and the operation time of the algorithm is greatly decreased.In detection algorithm,we extract the trajectory of neurofilaments moving along the axon and depict it to a parameterised curve,and then use graphic label of Markov random field to determine the axon blocks encompassing moving neurofilaments,and refine head-end and tail-end positions of neurofilament to the precison of sub-pixel.In practical real-time tracking experiment,we compare the particle filtering tracking algorithm with detection tracking algorithm,it is showed that the latter outperforms the former in operation speed and tracking precision.关键词
荧光显微镜/神经丝/轴突约束/粒子滤波/马尔科夫随机场Key words
Fluorescence microscopy/Neurofilament/Axonal constraint/Particle filtering/Markov random field分类
信息技术与安全科学引用本文复制引用
袁亮,朱俊达..基于荧光显微镜图像的神经丝自动跟踪[J].计算机应用与软件,2015,(6):203-207,5.基金项目
国家自然科学基金项目（31460248，61262059）。新疆优秀青年科技创新人才培养项目（2013721016）；新疆自治区科技支疆项目（201591102）。 （）
