纺锤体微管三维生长动力学的空间统计。
Spatial Statistics of Three-Dimensional Growth Dynamics of Spindle Microtubules.
机构信息
Image Processing Research Team, Center for Advanced Photonics, RIKEN, Saitama, Japan.
Laboratory for Molecular and Cellular Dynamics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
出版信息
Methods Mol Biol. 2025;2872:51-72. doi: 10.1007/978-1-0716-4224-5_4.
The latest high-resolution 3D live-cell imaging technology, lattice light-sheet microscopy (LLSM), has successfully tracked the dynamics of microtubule growth throughout the entire mitotic spindle with unparalleled precision. By using green fluorescent protein-labeled end-binding protein 1 (EB1-GFP) as a marker for growing microtubule ends, LLSM has generated an extensive collection of multidimensional datasets mapping the positions and trajectories of these growing microtubule ends. Processing this data requires statistical analysis in three-dimensional space. This chapter describes the spatial statistical methods developed for this purpose, illustrated with practical examples. Finally, we discuss future prospects for analyzing complex, large-scale image data.
最新的高分辨率 3D 活细胞成像技术——晶格层光显微镜（LLSM），成功地以前所未有的精度跟踪了整个有丝分裂纺锤体中微管生长的动力学。通过使用绿色荧光蛋白标记的末端结合蛋白 1（EB1-GFP）作为生长微管末端的标记物，LLSM 生成了大量多维数据集，映射了这些生长微管末端的位置和轨迹。处理这些数据需要在三维空间中进行统计分析。本章介绍了为此目的开发的空间统计方法，并提供了实际示例。最后，我们讨论了分析复杂、大规模图像数据的未来前景。
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