Image Processing for Fusion Identification Between the GLUT4 Storage Vesicles and the Plasma Membrane

Image Processing for Fusion Identification Between the GLUT4 Storage Vesicles and the Plasma Membrane
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用于 glut4 储存囊泡和质膜之间融合识别的图像处理

DOI:
10.1007/s11265-008-0189-3
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发表时间:
2009-03-01
影响因子:
1.8
通讯作者:
Duan, Huilong
Duan, Huilong
中科院分区:
计算机科学4区
文献类型:
--
作者:
Deng, Ning;Xu, Yingke;Duan, Huilong

文献摘要

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作为肌肉和脂肪细胞中的主要GLUT亚型,葡萄糖转运蛋白4(GLUT 4)负责胰岛素刺激的葡萄糖摄取进入这些组织。其中,对接/融合过程被认为是最重要的GLUT 4储存囊泡从细胞内室移动到质膜的过程。研究GLUT 4转运动力学的一种有效和强大的方法是通过全内反射荧光(TIRF)显微镜(TIRFM)系统可视化GLUT 4囊泡的动态行为。然而,TIRFM图像的分析目前是以手动方式完成的,这是一个非常计算密集和耗时的过程。本文提出了一种简单的和计算效率高的方法,允许自动融合识别。它包括图像分割、轨迹连接和囊泡识别等算法。利用TIRFM拍摄的多幅图像叠加验证了该方法的有效性。该方法非常适合于大规模生物数据分析的实现。重要的是,我们的工作为研究胰岛素调控的GLUT 4易位提供了一种新的思路,并在定量测量、数据挖掘等方面对进一步的分析进行了前景展望。
As the primary GLUT isoform in muscle and fat cells, glucose transporter 4 (GLUT4) is responsible for insulin-stimulated glucose uptake into these tissues. Among this procedure, the docking/fusion process was regarded as the most important process which GLUT4 storage vesicles packed with GLUT4s were moving from intracellular compartments to the plasma membrane. One efficient and powerful approach to study the kinetics of GLUT4 translocation is to visualize the dynamic behavior of GLUT4 vesicles by the total internal reflection fluorescence (TIRF) microscopy (TIRFM) system. However, analysis of TIRFM images is currently done in a manual manner which is a very computationally intensive and time-consuming procedure. This paper presents a simple and computationally efficient method which permits the automatic fusion identification. It consists of several algorithms including image segmentation, trajectory linking and vesicle recognition. The efficiency of the method was validated by several image stacks taken by TIRFM. This method is very suitable for the implementation of the large scale biological data analysis. Importantly, our work provides a new idea of studying the insulin regulated GLUT4 translocation and give the prospect of further analysis in quantitative measurement, data mining, etc.