Cell population tracking and lineage construction with spatiotemporal context
Cell population tracking and lineage construction with spatiotemporal context
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DOI：
10.1016/j.media.2008.06.001
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发表时间：
2008-10-01
影响因子：
10.9
通讯作者：
Campbell, Phil G.
中科院分区：
文献类型：
--
作者：
Li, Kang;Miller, Eric D.;Campbell, Phil G.
使用延时相衬显微镜对体外细胞群进行自动视觉跟踪，可以对细胞行为进行定量、系统和高通量测量。这些测量包括细胞迁移、有丝分裂、凋亡和细胞系重建的时空量化。相对比显微镜图像的低信噪比、细胞培养物的高密度和变化的密度、细胞形状的拓扑复杂性以及细胞行为的广泛范围的结合对现有的跟踪技术提出了许多挑战。本文提出了一种全自动多目标跟踪系统，可以有效地应对这些挑战，同时跟踪和分析使用延时相衬显微镜观察到的数千个细胞。该系统通过集成多个协同模块，将自底向上和自顶向下的图像分析相结合，利用快速几何主动轮廓跟踪器，结合自适应交互多模型（IMM）运动滤波和时空轨迹优化。该系统使用多种细胞群进行了测试，其跟踪精度在86.9-92.5%之间。(C) 2008 Elsevier B.V.版权所有
Automated visual-tracking of cell populations in vitro using time-lapse phase contrast microscopy enables quantitative, systematic, and high-throughput measurements of cell behaviors. These measurements include the spatiotemporal quantification of cell migration, mitosis, apoptosis, and the reconstruction of cell lineages. The combination of low signal-to-noise ratio of phase contrast microscopy images, high and varying densities of the cell cultures, topological complexities of cell shapes, and wide range of cell behaviors poses many challenges to existing tracking techniques. This paper presents a fully automated multi-target tracking system that can efficiently cope with these challenges while simultaneously tracking and analyzing thousands of cells observed using time-lapse phase contrast microscopy. The system combines bottom-up and top-down image analysis by integrating multiple collaborative modules, which exploit a fast geometric active contour tracker in conjunction with adaptive interacting multiple models (IMM) motion filtering and spatiotemporal trajectory optimization. The system, which was tested using a variety of cell populations, achieved tracking accuracy in the range of 86.9-92.5%. (C) 2008 Elsevier B.V. All rights reserved.