Abstract
Particle tracking is a ubiquitous task in the study of dynamic molecular and cellular processes through microscopy. Light-sheet microscopy has opened a path to acquiring complete cell volumes for investigation in 3-dimensions (3D). However, hypothesis formulation and quantitative analysis have remained difficult due to fundamental challenges in the visualization and the verification of large and dense sets of 3D particle trajectories. Here we describe u-track 3D, a software package that addresses these two challenges. Building on the established framework of particle association in space and time implemented for 2D time-lapse sequences, we first report a complete and versatile pipeline for particle tracking in 3D. We then present the concept of dynamic region of interest (dynROI), which allows an experimenter to interact with dynamic 3D processes in 2D views amenable to visual inspection. Third, we present an estimator of trackability which defines a score for every trajectory, thereby overcoming the challenges of trajectory validation by visual inspection. With these combined strategies, u-track 3D provides a framework for the unbiased study of molecular processes in complex volumetric sequences.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
The evaluation of the trackability score has been significantly improved. We now show the high predictive power on tracking error using simulations. We have also split figures to improve their focus on a single message.
