Determination of the positions and orientations of concentrated rod-like colloids from 3D microscopy data
T. H. Besseling, M. Hermes, A. Kuijk, B. de Nijs, T.-S. Deng, M., Dijkstra, A. Imhof, A. van Blaaderen

TL;DR
This paper introduces a new 3D particle-fitting algorithm capable of accurately determining the positions and orientations of concentrated rod-like colloids from confocal microscopy data, even with overlapping signals, enabling detailed studies of their structure and dynamics.
Contribution
The authors developed a novel particle-fitting algorithm that accurately extracts positions and orientations of anisotropic particles in dense phases from 3D microscopy data, including overlapping signals.
Findings
Successfully identifies all five coordinates of uniaxial particles in various phases.
Applicable to both confocal microscopy and electron tomography data.
Achieves high accuracy in simulated and experimental data of silica rods.
Abstract
Confocal microscopy in combination with real-space particle tracking has proven to be a powerful tool in scientific fields such as soft matter physics, materials science and cell biology. However, 3D tracking of anisotropic particles in concentrated phases remains not as optimized compared to algorithms for spherical particles. To address this problem, we developed a new particle-fitting algorithm that can extract the positions and orientations of fluorescent rod-like particles from three dimensional confocal microscopy data stacks, even when the fluorescent signals of the particles overlap considerably. We demonstrate that our algorithm correctly identifies all five coordinates of uniaxial particles in both a concentrated disordered phase and a liquid-crystalline smectic-B phase. Apart from confocal microscopy images, we also demonstrate that the algorithm can be used to identify…
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