Diatrack particle tracking software: Review of applications and performance evaluation
- Publication Type:
- Journal Article
- Citation:
- Traffic, 2017, 18 (12), pp. 840 - 852
- Issue Date:
- 2017-12-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
Vallotton_et_al-2017-Traffic.pdf | Accepted Manuscript Version | 22.8 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd 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.
Please use this identifier to cite or link to this item: