摘要
神经丝蛋白质是沿神经轴突运输的功能性蛋白聚合物,神经丝蛋白质的运动研究对于如神经退行性疾病的诊断等应用是非常重要的。传统的方法在很大程度上依赖于在荧光显微镜图像下手工标记神经丝蛋白质。描述了一种基于检测跟踪的自动神经丝运动分析方法,用这种方法提取出沿轴突运动的神经丝轨迹并描绘成一条参数化曲线。首先,将轴突分解成块,然后利用马尔可夫随机场图形标签来确定包含运动神经丝的轴突块,最后将神经丝的首端和尾端位置细化到亚像素精度。神经丝运动的实际延时荧光图像序列实验表明了所提方法的有效性和可靠性。
Neurofilaments are functional protein polymers that are transported along the axonal processes of nerve cells.Studying the movement of neurofilaments is important in applications such as diagnosing neurodegenerative diseases.Traditional methods largely rely on manual labeling of the neu-rofilaments in fluorescence microscopy images.An automated method for analyzing the motion of neurofilaments based on tracking-by-detection is proposed.The axon along which the neurofilaments move is extracted and represented by a parametric curve.Firstly,the axon is decomposed into blocks.Secondly,the blocks containing the moving neurofilaments are determined by graph labeling using Markov Random Field.Finally,the leading and trailing locations of a neurofilament are refined to sub-pixel accuracy.Experiments on real time-lapse fluorescence image sequences of neurofilament movement demonstrate the efficacy and efficiency of our proposed method.
出处
《计算机工程与科学》
CSCD
北大核心
2015年第1期119-124,共6页
Computer Engineering & Science
基金
国家自然科学基金资助项目(31460248
61262059)
教育部留学回国人员科研启动基金资助项目
新疆优秀青年科技创新人才培养项目(2013721016)
新疆大学博士启动基金资助项目
