Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Apostelgasse 23, 1030 Vienna, Austria.
J Struct Biol. 2012 Apr;178(1):19-28. doi: 10.1016/j.jsb.2012.02.011. Epub 2012 Mar 1.
The aim of this work was to develop a protocol for automated tracking of actin filaments in electron tomograms of lamellipodia embedded in negative stain. We show that a localized version of the Radon transform for the detection of filament directions enables three-dimensional visualizations of filament network architecture, facilitating extraction of statistical information including orientation profiles. We discuss the requirements for parameter selection set by the raw image data in the context of other, similar tracking protocols.
这项工作的目的是开发一种在负染嵌入的片状伪足的电子断层扫描中自动跟踪肌动蛋白丝的方案。我们表明,用于检测丝取向的局部化的 Radon 变换版本能够实现丝网络结构的三维可视化,从而方便提取包括取向分布在内的统计信息。我们根据原始图像数据的要求讨论了参数选择,这些要求在其他类似的跟踪方案中也存在。