Practical Considerations in Particle and Object Tracking and Analysis.
Practical Considerations in Particle and Object Tracking and Analysis.
复制标题
DOI：
10.1002/cpcb.88
复制
发表时间：
2019-06-01
影响因子：
--
通讯作者：
Chew, Teng-Leong
中科院分区：
文献类型：
--
作者：
Aaron, Jesse;Wait, Eric;Chew, Teng-Leong
活细胞成像技术的快速发展使生物学家能够生成高维数据，以在微观水平上跟踪生物运动。然而，现代显微镜的“感知”易用性导致了挑战，其中通常生成次优数据，其由于在图像采集期间做出的各种不明智的决定而不能支持定量跟踪和分析。即使是最佳采集的图像，在进行分析之前，通常也需要通过数字处理进行进一步优化。在撰写本文时，我们假设我们的目标受众是对数字图像采集和处理有基本了解的生物学家，他们正在寻求了解粒子/物体跟踪实验的基本步骤。正是考虑到这一目标读者群，我们回顾了图像处理技术的基本原理以及跟踪实验中常用的分析策略。最后，我们讨论了如何对运动行为进行数学建模和描述。John Wiley & Sons，Inc._关于我们
The rapid advancement of live-cell imaging technologies has enabled biologists to generate high-dimensional data to follow biological movement at the microscopic level. Yet, the "perceived" ease of use of modern microscopes has led to challenges whereby sub-optimal data are commonly generated that cannot support quantitative tracking and analysis as a result of various ill-advised decisions made during image acquisition. Even optimally acquired images often require further optimization through digital processing before they can be analyzed. In writing this article, we presume our target audience to be biologists with a foundational understanding of digital image acquisition and processing, who are seeking to understand the essential steps for particle/object tracking experiments. It is with this targeted readership in mind that we review the basic principles of image-processing techniques as well as analysis strategies commonly used for tracking experiments. We conclude this technical survey with a discussion of how movement behavior can be mathematically modeled and described. © 2019 by John Wiley & Sons, Inc.