Deformable modeling for improved calculation of molecular velocities from single-particle tracking.

Peter M Kasson, Mark M Davis, Axel T Brunger
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引用次数: 1

Abstract

Single-particle tracking provides a powerful technique for measuring dynamic cellular processes on the level of individual molecules. Much recent work has been devoted to using single particle tracking to measure long-range movement of particles on the cell surface, including methods for automated localization and tracking of particles [1-3]. However, most particle tracking studies to date ignore cell surface curvature and dynamic cellular deformation, factors frequently present in physiologically relevant situations. In this report, we perform quantitative evaluation of single-particle tracking on curved and deforming cell surfaces. We also introduce a new hybrid method that uses non-rigid cellular modeling for improved computation of single-particle tracking trajectories on the surfaces of cells undergoing deformation. This method combines single-molecule and bulk fluorescence measurements in an automated manner to enable more accurate and robust characterization of dynamic cell physiology and regulation.

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通过单粒子跟踪改进分子速度计算的可变形模型。
单粒子跟踪为在单个分子水平上测量动态细胞过程提供了一种强大的技术。最近的许多工作都致力于使用单粒子跟踪来测量细胞表面上粒子的远程运动,包括自动定位和跟踪粒子的方法[1-3]。然而,迄今为止,大多数粒子跟踪研究忽略了细胞表面曲率和动态细胞变形,这些因素经常出现在生理相关的情况下。在本报告中,我们对弯曲和变形的细胞表面上的单粒子跟踪进行了定量评估。我们还介绍了一种新的混合方法,该方法使用非刚性细胞建模来改进变形细胞表面上单粒子跟踪轨迹的计算。该方法结合了单分子和整体荧光测量自动化的方式,使动态细胞生理和调节的更准确和稳健的表征。
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