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

Pascal VallottonAntoine M van OijenCynthia B WhitchurchVladimir GelfandLeslie YeoGeorgios TsiavaliarisStephanie HeinrichElisa DultzKarsten WeisDavid Grünwald
Published in: Traffic (Copenhagen, Denmark) (2017)
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.
Keyphrases
  • single molecule
  • high resolution
  • deep learning
  • working memory
  • machine learning
  • depressive symptoms
  • air pollution
  • convolutional neural network
  • living cells
  • optical coherence tomography