A simulation study about tracking of micro sized particles close to contact

Yücel, Harun; Okumuşoğlu, N. T.

doi:10.1063/1.4976378

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…Previously, we performed similar simulations with the same experimental parameters for 5.53 µm sized particle in [20] where we aimed to understand the performance of the template based tracking algorithm that are proposed and experimentally verified by Zhang et al [19]. When we compare the simulation results between two works, we can say that the proposed algorithm in this work is useful in terms of easy applicability and yields more accurate results.…”

Section: Resultsmentioning

confidence: 81%

Section: Resultsmentioning

confidence: 99%

“…However, the algorithm needs the orientation information between the particles and it is difficult to adapt it for more particles. Moreover, their algorithm includes to track an isolated reference particles to reduce systematic errors [19,20].…”

Section: Introductionmentioning

confidence: 99%

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A new tracking algorithm for multiple colloidal particles close to contact

Yücel

Okumuşoğlu

2017

J. Phys.: Condens. Matter

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In this paper, we propose a new algorithm based on radial symmetry center method to track colloidal particles close to contact, where the optical images of the particles start to overlap in digital video microscopy. This overlapping effect is important to observe the pair interaction potential in colloidal studies and it appears as additional interaction in the measurement of the interaction with conventional tracking analysis. The proposed algorithm in this work is simple, fast and applicable for not only two particles but also three and more particles without any modification. The algorithm uses gradient vectors of the particle intensity distribution, which allows us to use a part of the symmetric intensity distribution in the calculation of the actual particle position. In this study, simulations are performed to see the performance of the proposed algorithm for two and three particles, where the simulation images are generated by using fitted curve to experimental particle image for different sized particles. As a result, the algorithm yields the maximum error smaller than 2nm for 5.53µm silica particles in contact condition.

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Section: Resultsmentioning

confidence: 81%

Section: Resultsmentioning

confidence: 99%