Litcius/Paper detail

<i>DefocusTracker</i>: A Modular Toolbox for Defocusing-based, Single-Camera, 3D Particle Tracking

Rune Barnkob, Massimiliano Rossi

2021Journal of Open Research Software30 citationsDOIOpen Access PDF

Abstract

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. <em>DefocusTracker</em> 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. <em>DefocusTracker</em> is implemented in MATLAB, while a parallel implementation in Python is in the preparation.

Topics & Concepts

ToolboxComputer scienceModular designPython (programming language)WorkflowFocus (optics)Computer visionArtificial intelligenceTracking (education)Computer graphics (images)Image (mathematics)Table (database)Particle filterSoftwareComputational scienceImage processingParticle systemImage Processing Techniques and ApplicationsAdvanced Fluorescence Microscopy TechniquesDigital Holography and Microscopy
&lt;i&gt;DefocusTracker&lt;/i&gt;: A Modular Toolbox for Defocusing-based, Single-Camera, 3D Particle Tracking | Litcius