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Abstract：
Object tracking is an instrumental tool supporting studies of cellular trafficking. There are three challenges in object tracking: the identification of targets; the precise determination of their position and boundaries; and the assembly of correct trajectories. This last challenge is particularly relevant when dealing with densely populated images with low signal-to-noise ratios-conditions that are often encountered in applications such as organelle tracking, virus particle tracking or single-molecule imaging. We have developed a set of methods that can handle a wide variety of signal complexities. They are compiled into a free software package called Diatrack. Here we review its main features and utility in a range of applications, providing a survey of the dynamic imaging field together with recommendations for effective use. The performance of our framework is shown to compare favorably to a wide selection of custom-developed algorithms, whether in terms of localization precision, processing speed or correctness of tracks.
摘要：
对象跟踪是支持细胞贩运研究的工具。目标跟踪有三个挑战：目标的识别；精确确定其位置和边界；以及正确轨迹的组装。当处理在诸如细胞器跟踪等应用中经常遇到的具有低信噪比的密集图像条件时，最后一个挑战尤其重要。病毒颗粒跟踪或单分子成像。我们已经开发了一组方法，可以处理各种各样的信号复杂性。它们被编译成一个名为Diatrack的免费软件包。在这里，我们回顾了它在一系列应用中的主要功能和实用性，提供动态成像领域的调查以及有效使用的建议。我们的框架的性能与多种自定义开发的算法相比具有优势，无论是在定位精度方面，处理速度或轨道的正确性。
