Toolbox for tracking and analyzing crowded mixture of colloidal particles

Basit Öğe Kaydı
dc.authoridK. P. Velu, Sabareesh/0000-0003-4793-3062
dc.authoridYucel, Harun/0000-0001-9406-0220
dc.contributor.authorYucel, Harun
dc.contributor.authorVelu, Sabareesh K. P.
dc.date.accessioned2024-10-04T18:54:04Z
dc.date.available2024-10-04T18:54:04Z
dc.date.issued2021
dc.departmentBayburt Üniversitesien_US
dc.description.abstractWe present a MATLAB-based multiple particle tracking (mPosTracker) algorithm to detect and track crowded colloidal particles that are two-dimensionally imaged using digital video microscopy. Our algorithm adopts three optional detection methods using threshold settings namely; centroid method (CM), radial symmetry method (RSM) and partial radial symmetry method (pRSM). In contrast to other reported algorithms, it allows classifying a maximum of three types of particles based on area or intensity. Furthermore, we include a toolbox to perform quantitative particle analysis like number density, trajectories with mean square displacement, and Voronoi cells with six-fold bond parameters to reveal the physics of examined dataset. To demonstrate the abilities of mPosTracker, we show the analysis outcomes on synthetically and experimentally acquired time-lapse microscopy datasets. mPosTracker is suitable for studying the dynamics of crowd behaviour, self-assembly, and manipulation of multi-component colloids under external fields.en_US
dc.identifier.doi10.1016/j.colcom.2021.100546
dc.identifier.issn2215-0382
dc.identifier.scopus2-s2.0-85119158836en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.colcom.2021.100546
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3853
dc.identifier.volume45en_US
dc.identifier.wosWOS:000721475300007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofColloid and Interface Science Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDigital video microscopy (DVM)en_US
dc.subjectImage processingen_US
dc.subjectParticle detectionen_US
dc.subjectParticle trackingen_US
dc.subjectParticle classificationen_US
dc.subjectBinary colloidsen_US
dc.subjectCrowded particlesen_US
dc.titleToolbox for tracking and analyzing crowded mixture of colloidal particlesen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu