Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, 18015, USA.
Department of Physics, Lehigh University, Bethlehem, PA, 18015, USA.
Sci Rep. 2019 Feb 8;9(1):1717. doi: 10.1038/s41598-018-37182-6.
Studies of how individual semi-flexible biopolymers and their network assemblies change over time reveal dynamical and mechanical properties important to the understanding of their function in tissues and living cells. Automatic tracking of biopolymer networks from fluorescence microscopy time-lapse sequences facilitates such quantitative studies. We present an open source software tool that combines a global and local correspondence algorithm to track biopolymer networks in 2D and 3D, using stretching open active contours. We demonstrate its application in fully automated tracking of elongating and intersecting actin filaments, detection of loop formation and constriction of tilted contractile rings in live cells, and tracking of network deformation under shear deformation.
研究单个半柔性生物聚合物及其网络组装体随时间的变化，揭示了对理解其在组织和活细胞中功能至关重要的动力学和力学特性。从荧光显微镜延时序列中自动跟踪生物聚合物网络有助于进行此类定量研究。我们提出了一个开源软件工具，该工具结合了全局和局部对应算法，使用拉伸开放主动轮廓来跟踪 2D 和 3D 中的生物聚合物网络。我们展示了它在全自动跟踪伸长和相交的肌动蛋白丝、检测活细胞中倾斜收缩环的环形成和收缩以及在剪切变形下跟踪网络变形方面的应用。
