| Literature DB >> 28945316 |
Pascal Vallotton1, Antoine M van Oijen2, Cynthia B Whitchurch3, Vladimir Gelfand4, Leslie Yeo5, Georgios Tsiavaliaris6, Stephanie Heinrich1, Elisa Dultz1, Karsten Weis1, David Grünwald7.
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.Entities:
Keywords: biological imaging; cell tracking; dynamic imaging; live cell imaging; organelle tracking; particle tracking; single molecule; super-resolution; vesicle tracking
Mesh:
Year: 2017 PMID: 28945316 PMCID: PMC5677553 DOI: 10.1111/tra.12530
Source DB: PubMed Journal: Traffic ISSN: 1398-9219 Impact factor: 6.215