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Research article - Peer-reviewed, 2017

Refining particle positions using circular symmetry

Rodriguez, Alvaro; Zhang, Hanging; Wiklund, Krister; Brodin, Tomas; Klaminder, Jonatan; Andersson, Patrik; Andersson, Magnus


Particle and object tracking is gaining attention in industrial applications and is commonly applied in: colloidal, biophysical, ecological, and micro-fluidic research. Reliable tracking information is heavily dependent on the system under study and algorithms that correctly determine particle position between images. However, in a real environmental context with the presence of noise including particular or dissolved matter in water, and low and fluctuating light conditions, many algorithms fail to obtain reliable information. We propose a new algorithm, the Circular Symmetry algorithm (C-Sym), for detecting the position of a circular particle with high accuracy and precision in noisy conditions. The algorithm takes advantage of the spatial symmetry of the particle allowing for subpixel accuracy. We compare the proposed algorithm with four different methods using both synthetic and experimental datasets. The results show that C-Sym is the most accurate and precise algorithm when tracking micro-particles in all tested conditions and it has the potential for use in applications including tracking biota in their environment.

Published in

2017, volume: 12, number: 4, article number: e0175015

Authors' information

Rodriguez, Alvaro
Umea University
Zhang, Hanging
Umea University
Wiklund, Krister
Umea University
Umeå University
Klaminder, Jonatan
Umea University
Andersson, Patrik
Umea University
Andersson, Magnus
Umea University

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