Department of Physics and Randall Division of Cell and Molecular Biophysics, King's College London, London, UK.
Cellular Microbiology, Max Planck Institute for Infection Biology, Berlin, Germany.
Sci Rep. 2018 Jul 10;8(1):10418. doi: 10.1038/s41598-018-28691-5.
Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localization coordinates as input, we present an algorithm capable of tracing fibrous structures in data generated by SMLM. Based upon a density parameter tracing routine, the algorithm outputs several fibre descriptors, such as number of fibres, length of fibres, area of enclosed regions and locations and angles of fibre branch points. The method is validated in a variety of simulated conditions and experimental data acquired using the image reconstruction by integrating exchangeable single-molecule localization (IRIS) technique. For this, the nanoscale architecture of F-actin at the T cell immunological synapse in both untreated and pharmacologically treated cells, designed to perturb actin structure, was analysed.
单分子定位显微镜(SMLM)方法以所有定位发射器的空间点模式(SPP)的形式产生数据。虽然有许多工具可用于量化 SPP 数据中的分子聚类,但对纤维结构的分析仍研究不足。我们以 SMLM 定位坐标作为输入,提出了一种能够在 SMLM 生成的数据中跟踪纤维结构的算法。基于密度参数跟踪例程,该算法输出几个纤维描述符,例如纤维数量、纤维长度、封闭区域的面积以及纤维分支点的位置和角度。该方法在各种模拟条件和使用通过交换单分子定位的图像重建(IRIS)技术获得的实验数据中得到验证。为此,分析了未处理和用药物处理以扰乱肌动蛋白结构的细胞中的 T 细胞免疫突触处 F-肌动蛋白的纳米级结构。