Stein Andrew M, Vader David A, Jawerth Louise M, Weitz David A, Sander Leonard M
Institute for Mathematics and its Applications, University of Minnesota, Minneapolis, MN 55403, USA, +
J Microsc. 2008 Dec;232(3):463-75. doi: 10.1111/j.1365-2818.2008.02141.x.
The geometric structure of a biopolymer network impacts its mechanical and biological properties. In this paper, we develop an algorithm for extracting the network architecture of three-dimensional (3d) fluorescently labeled collagen gels, building on the initial work of Wu et al., (2003). Using artificially generated images, the network extraction algorithm is then validated for its ability to reconstruct the correct bulk properties of the network, including fiber length, persistence length, cross-link density, and shear modulus.
生物聚合物网络的几何结构会影响其机械和生物学特性。在本文中,我们基于Wu等人(2003年)的初步工作,开发了一种用于提取三维(3D)荧光标记胶原蛋白凝胶网络结构的算法。然后,使用人工生成的图像,对网络提取算法重建网络正确整体特性的能力进行了验证,这些特性包括纤维长度、持久长度、交联密度和剪切模量。