Tosi Sébastien, Campbell Kyra
Advanced Digital Microscopy Core Facility (ADMCF), Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Department of Biomedical Science, Firth Court, University of Sheffield, Sheffield, UK.
Methods Mol Biol. 2019;2040:385-395. doi: 10.1007/978-1-4939-9686-5_18.
With rapidly advancing microscopy techniques for live cell imaging, we are now able to image groups of migrating cells in many different in vivo contexts. However, as the resulting data sets become larger and more complex, following the behavior of these cells and extracting accurate quantitative data become increasingly challenging. Here we present a protocol for carrying out accurate automated tracking of cells moving over time in 3D, implemented as custom-built macro scripts for ImageJ. As opposed to many generic tracking workflows, the workflow we propose here accounts for the overall movement of the embryo, allows the selection of subgroups of cells, and includes a step for the complete assisted review of all 3D tracks. Furthermore, it is easy to add new custom track measurement to the code provided. Together, these present a reliable method for the precise tracking of cells, from which distinct subsets of cells can be selected from within a population.
随着用于活细胞成像的显微镜技术迅速发展,我们现在能够在许多不同的体内环境中对迁移细胞群进行成像。然而,随着所得数据集变得越来越大且越来越复杂,追踪这些细胞的行为并提取准确的定量数据变得越来越具有挑战性。在此,我们展示了一种用于对随时间在三维空间中移动的细胞进行精确自动追踪的方案,该方案以针对ImageJ定制构建的宏脚本形式实现。与许多通用的追踪工作流程不同,我们在此提出的工作流程考虑了胚胎的整体运动,允许选择细胞亚群,并且包括对所有三维轨迹进行完整辅助审查的步骤。此外,很容易在提供的代码中添加新的自定义轨迹测量。这些共同提供了一种可靠的方法来精确追踪细胞,从中可以从群体中选择不同的细胞亚群。