Institute of Microbiology, Technische Universität Braunschweig, Braunschweig, Germany.
Bioinformatics. 2012 Sep 1;28(17):2276-7. doi: 10.1093/bioinformatics/bts424. Epub 2012 Jul 5.
Time-lapse imaging in combination with fluorescence microscopy techniques enable the investigation of gene regulatory circuits and uncovered phenomena like culture heterogeneity. In this context, computational image processing for the analysis of single cell behaviour plays an increasing role in systems biology and mathematical modelling approaches. Consequently, we developed a software package with graphical user interface for the analysis of single bacterial cell behaviour.
A new software called TLM-Tracker allows for the flexible and user-friendly interpretation for the segmentation, tracking and lineage analysis of microbial cells in time-lapse movies.
The software package, including manual, tutorial video and examples, is available as Matlab code or executable binaries at http://www.tlmtracker.tu-bs.de.
延时成像与荧光显微镜技术相结合,使我们能够研究基因调控回路,并揭示出培养物异质性等现象。在这种情况下,用于单细胞行为分析的计算图像处理在系统生物学和数学建模方法中发挥着越来越重要的作用。因此,我们开发了一个带有图形用户界面的软件包,用于分析单细胞细菌的行为。
一个名为 TLM-Tracker 的新软件,可用于灵活、用户友好地对延时电影中的微生物细胞进行分割、跟踪和谱系分析。
该软件包包括手册、教程视频和示例,可作为 Matlab 代码或可执行二进制文件在 http://www.tlmtracker.tu-bs.de 上获得。