Estimating the concentration of gold nanoparticles incorporated on natural rubber membranes using multi-level starlet optimal segmentation

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dc.contributor.authorSiqueira, A. F. de [UNESP]
dc.contributor.authorCabrera, F. C. [UNESP]
dc.contributor.authorPagamisse, A. [UNESP]
dc.contributor.authorJob, A. E. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-03-18T15:53:05Z
dc.date.available2015-03-18T15:53:05Z
dc.date.issued2014-12-01
dc.description.abstractThis study consolidates multi-level starlet segmentation (MLSS) and multi-level starlet optimal segmentation (MLSOS) techniques for photomicrograph segmentation, based on starlet wavelet detail levels to separate areas of interest in an input image. Several segmentation levels can be obtained using MLSS; after that, Matthews correlation coefficient is used to choose an optimal segmentation level, giving rise to MLSOS. In this paper, MLSOS is employed to estimate the concentration of gold nanoparticles with diameter around 47 nm, reduced on natural rubber membranes. These samples were used for the construction of SERS/SERRS substrates and in the study of the influence of natural rubber membranes with incorporated gold nanoparticles on the physiology of Leishmania braziliensis. Precision, recall, and accuracy are used to evaluate the segmentation performance, and MLSOS presents an accuracy greater than 88 % for this application.en
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Fis Quim & Biol, Presidente Prudente, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Matemat & Comp, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Fis Quim & Biol, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Matemat & Comp, Presidente Prudente, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 10/20496-2
dc.description.sponsorshipIdFAPESP: 11/09438-3
dc.format.extent13
dc.identifierhttp://dx.doi.org/10.1007/s11051-014-2809-0
dc.identifier.citationJournal Of Nanoparticle Research. Dordrecht: Springer, v. 16, n. 12, 13 p., 2014.
dc.identifier.doi10.1007/s11051-014-2809-0
dc.identifier.issn1388-0764
dc.identifier.lattes0304271846229471
dc.identifier.lattes6475585105456744
dc.identifier.urihttp://hdl.handle.net/11449/116341
dc.identifier.wosWOS:000346697000066
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofJournal Of Nanoparticle Research
dc.relation.ispartofjcr2.127
dc.relation.ispartofsjr0,528
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectComputational visionen
dc.subjectGold nanoparticlesen
dc.subjectImage processingen
dc.subjectMulti-level starlet segmentationen
dc.subjectNatural rubberen
dc.subjectScanning electron microscopyen
dc.subjectWaveletsen
dc.subjectModeling and simulationen
dc.titleEstimating the concentration of gold nanoparticles incorporated on natural rubber membranes using multi-level starlet optimal segmentationen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.author.lattes0304271846229471[3]
unesp.author.lattes6475585105456744[4]
unesp.author.orcid0000-0003-1320-4347[1]
unesp.author.orcid0000-0002-1979-8257[4]
unesp.author.orcid0000-0001-7924-7089[2]
unesp.author.orcid0000-0002-8244-3168[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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Artigos - Física, Química e Biologia - FCT
Artigos - Matemática e Computação - FCT