The need for single-camera 3D particle tracking methods is growing, among others, due to the increasing focus in biomedical research often relying on single-plane microscopy imaging. Defocusing-based methods are ideal for a wide-spread use as they rely on basic microscopy imaging rather than requiring additional non-standard optics. However, a wide-spread use has been limited by the lack of accessible and easy-to-use software. DefocusTracker is an open-source toolbox based on the universal principles of General Defocusing Particle Tracking (GDPT) relying solely on a reference look-up table and image recognition to connect a particle's image and its respective out-of-plane depth coordinate. The toolbox is built in a modular fashion, allowing for easy addition of new image recognition methods, while maintaining the same workflow and external user interface. DefocusTracker is implemented in MATLAB, while a parallel implementation in Python is in the preparation.
@article{arxiv.2102.03056,
title = {DefocusTracker: A modular toolbox for defocusing-based, single-camera, 3D particle tracking},
author = {Rune Barnkob and Massimiliano Rossi},
journal= {arXiv preprint arXiv:2102.03056},
year = {2021}
}
Comments
11 pages, 3 figures, submitted for Journal of Open Research Software (JORS)