Three-dimensional tracking of GLUT4 vesicles in TIRF microscopy

来源 :Journal of Zhejiang University(Science A:An International Ap | 被引量 : 0次 | 上传用户:bobby980
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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. TIRF microscopy has provided a means to view mobile granules within 100 nm in size in two dimensions. Even quantitative analysis of the position and motion of those particles requires an appropriate tracking method. In this paper, we present a new tracking algorithm combined with the unique features of TIRF. First clear 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 therefore greater reliability in tracking process. After the tracked granules were located in xy 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 t he vesicles in three dimensions.
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