Filamentous biopolymer networks in cells and tissues are routinely imaged by confocal microscopy. Image analysis methods enable quantitative study of the properties of these curvilinear networks. However, software tools to quantify the geometry and topology of these often dense 3D networks and to localize network junctions are scarce. To fill this gap, we developed a new software tool called ‘‘SOAX’’, which can accurately extract the centerlines of 3D biopolymer networks and identify network junctions using Stretching Open Active Contours (SOACs). It provides an open-source, user-friendly platform for network centerline extraction, 2D/3D visualization, manual editing and quantitative analysis. We propose a method to quantify the performance of SOAX, which helps determine the optimal extraction parameter values. We quantify severaldifferenttypesof biopolymernetworksto demonstrateSOAX’spotentialto helpanswerkey questions in cell biology and biophysics from a quantitative viewpoint

Additional Metadata
Publisher NPG
Persistent URL dx.doi.org/10.1038/srep09081
Journal Sci. Rep.
Citation
Xu, T, Vavylonis, D, Tsai, F-C, Koenderink, G.H, Nie, W, Yusuf, E, … Huang, X. (2015). SOAX: A software for quantification of 3D biopolymer networks. Sci. Rep., 5(Article number: 9081), 1–10. doi:10.1038/srep09081