Vig Dhruv K, Hamby Alex E, Wolgemuth Charles W
Departments of Physics and Molecular and Cellular Biology, University of Arizona, Tucson, Arizona.
Departments of Physics and Molecular and Cellular Biology, University of Arizona, Tucson, Arizona.
Biophys J. 2016 Apr 12;110(7):1469-1475. doi: 10.1016/j.bpj.2016.02.032.
The application of flow visualization in biological systems is becoming increasingly common in studies ranging from intracellular transport to the movements of whole organisms. In cell biology, the standard method for measuring cell-scale flows and/or displacements has been particle image velocimetry (PIV); however, alternative methods exist, such as optical flow constraint. Here we review PIV and optical flow, focusing on the accuracy and efficiency of these methods in the context of cellular biophysics. Although optical flow is not as common, a relatively simple implementation of this method can outperform PIV and is easily augmented to extract additional biophysical/chemical information such as local vorticity or net polymerization rates from speckle microscopy.
流动可视化在生物系统中的应用在从细胞内运输到整个生物体运动的研究中越来越普遍。在细胞生物学中，测量细胞尺度流动和/或位移的标准方法是粒子图像测速技术（PIV）；然而，也存在其他方法，如光流约束。在这里，我们回顾PIV和光流，重点关注这些方法在细胞生物物理学背景下的准确性和效率。尽管光流并不常见，但这种方法的一个相对简单的实现方式可以优于PIV，并且很容易扩展以从散斑显微镜中提取额外的生物物理/化学信息，如局部涡度或净聚合速率。
