Department of Biotechnology and Biophysics, Julius-Maximilians-University, Am Hubland/Biocentre, 97074 Würzburg, Germany.
Bioinformatics. 2022 Apr 28;38(9):2670-2672. doi: 10.1093/bioinformatics/btac160.
Single-molecule localization microscopy has become an important part of the super-resolution microscopy toolbox in biomedical research. Software platforms for applying analytical methods to the point-based data structures are needed that offer both routine application and flexible customization of analysis procedures. We present a python library called LOCAN that consists of well-defined data structures and analysis methods for analyzing localization data in a script or computable notebook.
The package source code is released open-source under a BSD-3 license at https://github.com/super-resolution/Locan. It can be installed from the Python Package Index at https://pypi.org/project/locan. Documentation is available at https://locan.readthedocs.io.
单分子定位显微镜已成为生物医学研究中超分辨率显微镜工具包的重要组成部分。需要软件平台来应用分析方法到基于点的数据结构，这些平台既提供常规应用，又提供分析程序的灵活定制。我们介绍了一个名为 LOCAN 的 Python 库，它包含用于在脚本或可计算笔记本中分析定位数据的明确定义的数据结构和分析方法。
该软件包的源代码以 BSD-3 许可证在 https://github.com/super-resolution/Locan 上开源发布。它可以从 Python 包索引 https://pypi.org/project/locan 上安装。文档可在 https://locan.readthedocs.io 上查阅。
