时间序列荧光图像中精确检测高密度快速运动多囊泡的“自校正”算法（英文）  

A “Self-checking” Algorithm for Accurate Detection of High-density and Fast-moving Vesicles in Time-series Fluorescence Images

作　　者：张翔[1,2] 刘欣怡[2] 吕平平[2] 贾策[2] 

机构地区：[1]华中科技大学生命科学与技术学院,武汉430074 [2]中国科学院生物物理研究所,北京100101

出　　处：《生物化学与生物物理进展》2017年第5期431-442,共12页Progress In Biochemistry and Biophysics

基　　金：supported by a grant from The National Natural Science Foundation of China(31300701)~~

摘　　要：本文提出了一种"自校正"算法,用于提高时间序列荧光图像中的多个运动目标识别的正确率(如囊泡).此算法的主要思想是构建一个由核函数叠加构成的模型,然后用这个模型去拟合无法分辨时刻的数据,通过最小二乘拟合后得到的模型与真实数据的χ~2统计残差及拟合得到的核函数的参数,来确定该时刻囊泡的数目及各囊泡的中心位置.我们在合成图像上比较加入了自校正算法和未加自校正算法的识别正确率,结果表明,加入了自检算法以后识别正确率得到了明显提高.同时,提出了一个优化的囊泡追踪流程,并应用到小鼠β细胞的囊泡荧光图像分析中.统计分析显示,加入葡萄糖刺激后,小鼠β细胞囊泡轨迹数目会增加,平均锚定时间会减少,这是由于胰岛细胞需要借助囊泡的转运和分泌来调控血糖平衡.因此我们进一步在亚细胞水平定量分析了活细胞中囊泡的活动.This paper proposed the ＂ self-checking＂ algorithm to improve the detection accuracy of multiple moving targets in time-series fluorescence images, such as vesicles. The main idea of this algorithm is to construct a multi-kernel function superposition model and use the model to fit the data at the indistinguishable moment; the number of vesicles and the central positions of vesicles are determined from the set based on χ^2-statistics of the residuals in least-square fits of the models to the image data. By comparing the detection accuracy with or without the ＂self-checking＂ algorithm in simulated images, we found that the detection accuracy with the ＂self-checking＂ algorithm was improved significantly. Meanwhile, we proposed an optimized flow chart of vesicle tracking which was applied to analyze the vesicles in mice β cells. We found that the number of vesicle traces will increase and the average docking time of vesicles will decrease after glucose stimulation based on our tracking analysis. This is because β cells will release insulin to regulate glucose balance with the help of vesicle translocation and secretion after glucose stimulation. In a word, we quantified the vesicles activity in mice β cell by tracking analysis on subcellular level.

关 键 词：自校正算法 囊泡追踪 囊泡识别 时间序列图像 

分 类 号：Q334[生物学—遗传学] Q336