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Diatrack 粒子跟踪软件:应用与性能评估综述。

Diatrack particle tracking software: Review of applications and performance evaluation.

机构信息

Institute of Biochemistry, ETH Zürich, Zürich, Switzerland.

Faculty of Science Medicine and Health, University of Wollongong, Wollongong, Australia.

出版信息

Traffic. 2017 Dec;18(12):840-852. doi: 10.1111/tra.12530. Epub 2017 Oct 23.

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

目标跟踪是支持细胞运输研究的重要工具。目标跟踪有三个挑战:目标的识别;其位置和边界的精确确定;以及正确轨迹的组合。当处理具有低信噪比的密集图像时,最后一个挑战特别相关-这种情况在细胞器跟踪、病毒粒子跟踪或单分子成像等应用中经常遇到。我们开发了一套可以处理各种信号复杂性的方法。这些方法被编译成一个名为 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,同时提供了动态成像领域的调查以及有效使用的建议。我们的框架的性能被证明与广泛的定制开发算法相比具有优势,无论是在定位精度、处理速度还是轨迹的正确性方面。

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