RNA Therapeutics Institute Publications

Title

Diatrack particle tracking software: Review of applications and performance evaluation

UMMS Affiliation

RNA Therapeutics Institute; Department of Biochemistry and Molecular Pharmacology

Publication Date

2017-12

Document Type

Article

Disciplines

Biochemistry, Biophysics, and Structural Biology | Biology | Cell and Developmental Biology | Cells | Molecular Biology | Software Engineering

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.

Keywords

biological imaging, cell tracking, dynamic imaging, live cell imaging, organelle tracking, particle tracking, single molecule, super-resolution, vesicle tracking

DOI of Published Version

10.1111/tra.12530

Source

Traffic. 2017 Dec;18(12):840-852. doi: 10.1111/tra.12530. Epub 2017 Oct 23. Link to article on publisher's site

Journal/Book/Conference Title

Traffic (Copenhagen, Denmark)

Related Resources

Link to Article in PubMed

PubMed ID

28945316

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