Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Department of Biology, Philipps-Universität Marburg, Germany.
Mol Microbiol. 2020 Jul;114(1):140-150. doi: 10.1111/mmi.14501. Epub 2020 Apr 14.
Prokaryotic cells display a striking subcellular organization. Studies of the underlying mechanisms in different species have greatly enhanced our understanding of the morphological and physiological adaptation of bacteria to different environmental niches. The image analysis software tool BacStalk is designed to extract comprehensive quantitative information from the images of morphologically complex bacteria with stalks, flagella, or other appendages. The resulting data can be visualized in interactive demographs, kymographs, cell lineage plots, and scatter plots to enable fast and thorough data analysis and representation. Notably, BacStalk can generate demographs and kymographs that display fluorescence signals within the two-dimensional cellular outlines, to accurately represent their subcellular location. Beyond organisms with visible appendages, BacStalk is also suitable for established, non-stalked model organisms with common or uncommon cell shapes. BacStalk, therefore, contributes to the advancement of prokaryotic cell biology and physiology, as it widens the spectrum of easily accessible model organisms and enables highly intuitive and interactive data analysis and visualization.
原核细胞呈现出显著的亚细胞结构组织。对不同物种中潜在机制的研究极大地增强了我们对细菌适应不同环境生境的形态和生理适应性的理解。BacStalk 是一款图像分析软件工具，旨在从具有茎、鞭毛或其他附属物的形态复杂的细菌图像中提取全面的定量信息。生成的数据可以在交互式演示图、动态图像、细胞谱系图和散点图中可视化，从而实现快速而彻底的数据分析和表示。值得注意的是，BacStalk 可以生成显示二维细胞轮廓内荧光信号的演示图和动态图像，以准确表示它们的亚细胞位置。除了具有可见附属物的生物体之外，BacStalk 还适用于具有常见或不常见细胞形状的已建立的非茎模型生物。因此，BacStalk 为原核细胞生物学和生理学的发展做出了贡献，因为它拓宽了易于获取的模型生物的范围，并实现了高度直观和互动的数据分析和可视化。
