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首页> 外文期刊>Medical image analysis >Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy
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Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy

机译：延时荧光显微镜中用于跟踪粒子的多帧数据关联技术的定量比较

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摘要

Biological studies of intracellular dynamic processes commonly require motion analysis of large numbers of particles in live-cell time-lapse fluorescence microscopy imaging data. Many particle tracking methods have been developed in the past years as a first step toward fully automating this task and enabling high-throughput data processing. Two crucial aspects of any particle tracking method are the detection of relevant particles in the image frames and their linking or association from frame to frame to reconstruct the trajectories. The performance of detection techniques as well as specific combinations of detection and linking techniques for particle tracking have been extensively evaluated in recent studies. Comprehensive evaluations of linking techniques per se, on the other hand, are lacking in the literature. Here we present the results of a quantitative comparison of data association techniques for solving the linking problem in biological particle tracking applications. Nine multiframe and two more traditional two-frame techniques are evaluated as a function of the level of missing and spurious detections in various scenarios. The results indicate that linking techniques are generally more negatively affected by missing detections than by spurious detections. If misdetections can be avoided, there appears to be no need to use sophisticated multiframe linking techniques. However, in the practically likely case of imperfect detections, the latter are a safer choice. Our study provides users and developers with novel information to select the right linking technique for their applications, given a detection technique of known quality. (C) 2015 Elsevier B.V. All rights reserved.
机译：细胞内动态过程的生物学研究通常需要对活细胞延时荧光显微镜成像数据中的大量颗粒进行运动分析。在过去的几年中，已经开发了许多粒子跟踪方法，这是使该任务完全自动化并实现高通量数据处理的第一步。任何粒子跟踪方法的两个关键方面是检测图像帧中的相关粒子以及它们在帧之间的链接或关联以重建轨迹。在最近的研究中，已经对粒子跟踪的检测技术以及检测和链接技术的特定组合的性能进行了广泛的评估。另一方面，文献中缺乏对链接技术本身的全面评估。在这里，我们提出了数据关联技术的定量比较结果，用于解决生物粒子跟踪应用中的链接问题。根据在各种情况下丢失和杂散检测的级别，评估了九种多帧技术和另外两种传统的两帧技术。结果表明，与虚假检测相比，链接技术通常受到丢失检测的负面影响。如果可以避免误检测，则似乎无需使用复杂的多帧链接技术。但是，在实际上可能存在不完善检测的情况下，后者是一种较安全的选择。我们的研究为用户和开发人员提供了新颖的信息，可以在已知质量的检测技术的情况下为他们的应用选择正确的链接技术。 （C）2015 Elsevier B.V.保留所有权利。

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