Three-dimensional tracking of GLUT4 vesicles in TIRF microscopy

Three-dimensional tracking of GLUT4 vesicles in TIRF microscopy
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TIRF 显微镜中 GLUT4 囊泡的三维追踪

DOI:
10.1631/jzus.a061659
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发表时间:
2008-02
影响因子:
3.2
通讯作者:
Xu, Ying-ke
Xu, Ying-ke
中科院分区:
工程技术3区
文献类型:
--
作者:
Li, Jie-yue;Xu, Ke-di;Zheng, Xiao-xiang;Wu, Xiang-ping;Xu, Ying-ke

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相似文献

TIRF显微镜提供了一种在两个维度上观察大小在100 nm内的可移动颗粒的方法。然而,定量分析这些颗粒的位置和运动需要一种适当的跟踪方法。本文结合TIRF的特点,提出了一种新的跟踪算法。首先进行了荧光校正处理,解决了荧光随时间漂白的问题。然后,通过自适应背景减除法从延时图像堆栈中分割出移动颗粒。引入卡尔曼滤波对颗粒进行估计和跟踪,缩小了搜索范围,提高了跟踪过程的可靠性。将被跟踪的颗粒定位在x-y平面后,根据其强度的变化间接推断其z位置。在实验中,该算法被应用于跟踪活的脂肪细胞中的GLUT4囊泡。结果表明,该算法实现了对三维小泡的稳健估计和跟踪。
TIRF microscopy has provided a means to view mobile granules within 100 nm in size in two dimensions. However quantitative analysis of the position and motion of those granules requires an appropriate tracking method. In this paper, we present a new tracking algorithm combined with the unique features of TIRF. Firstly a fluorescence correction procedure was processed to solve the problem of fluorescence bleaching over time. Mobile granules were then segmented from a time-lapse image stack by an adaptive background subtraction method. Kalman filter was introduced to estimate and track the granules that allowed reducing searching range and hence greater reliability in tracking process. After the tracked granules were located in x–y plane, the z-position was indirectly inferred from the changes in their intensities. In the experiments the algorithm was applied in tracking GLUT4 vesicles in living adipose cells. The results indicate that the algorithm has achieved robust estimation and tracking of the vesicles in three dimensions.
DOI: 10.1109/9780470544334.ch9
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