Analysis of fiber deposition using automatic image processing method

dc.contributor.authorBělka, Miloslavcs
dc.contributor.authorLízal, Františekcs
dc.contributor.authorJedelský, Jancs
dc.contributor.authorJícha, Miroslavcs
dc.coverage.issue1cs
dc.coverage.volume45cs
dc.date.issued2013-04-09cs
dc.description.abstractFibers are permanent threat for a human health. They have an ability to penetrate deeper in the human lung, deposit there and cause health hazards, e.g. lung cancer. An experiment was carried out to gain more data about deposition of fibers. Monodisperse glass fibers were delivered into a realistic model of human airways with an inspiratory flow rate of 30 l/min. Replica included human airways from oral cavity up to seventh generation of branching. Deposited fibers were rinsed from the model and placed on nitrocellulose filters after the delivery. A new novel method was established for deposition data acquisition. The method is based on a principle of image analysis. The images were captured by high definition camera attached to a phase contrast microscope. Results of new method were compared with standard PCM method, which follows methodology NIOSH 7400, and a good match was found. The new method was found applicable for evaluation of fibers and deposition fraction and deposition efficiency were calculated afterwards.en
dc.description.abstractFibers are permanent threat for a human health. They have an ability to penetrate deeper in the human lung, deposit there and cause health hazards, e.g. lung cancer. An experiment was carried out to gain more data about deposition of fibers. Monodisperse glass fibers were delivered into a realistic model of human airways with an inspiratory flow rate of 30 l/min. Replica included human airways from oral cavity up to seventh generation of branching. Deposited fibers were rinsed from the model and placed on nitrocellulose filters after the delivery. A new novel method was established for deposition data acquisition. The method is based on a principle of image analysis. The images were captured by high definition camera attached to a phase contrast microscope. Results of new method were compared with standard PCM method, which follows methodology NIOSH 7400, and a good match was found. The new method was found applicable for evaluation of fibers and deposition fraction and deposition efficiency were calculated afterwards.en
dc.formattextcs
dc.format.extent1-4cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEPJ Web of Conferences. 2013, vol. 45, issue 1, p. 1-4.en
dc.identifier.doi10.1051/epjconf/20134501011cs
dc.identifier.isbn978-80-7372-912-7cs
dc.identifier.issn2100-014Xcs
dc.identifier.orcid0000-0001-8905-9751cs
dc.identifier.orcid0000-0002-0389-608Xcs
dc.identifier.orcid0000-0002-1268-8434cs
dc.identifier.orcid0000-0002-1409-5165cs
dc.identifier.other95365cs
dc.identifier.researcheridD-4363-2018cs
dc.identifier.researcheridA-9224-2013cs
dc.identifier.researcheridCVT-7747-2022cs
dc.identifier.scopus54966786300cs
dc.identifier.scopus23090535800cs
dc.identifier.scopus6602494673cs
dc.identifier.urihttp://hdl.handle.net/11012/193622
dc.language.isoencs
dc.publisherEDP Sciencescs
dc.relation.ispartofEPJ Web of Conferencescs
dc.relation.urihttps://www.epj-conferences.org/articles/epjconf/abs/2013/06/epjconf_efm2013_01011/epjconf_efm2013_01011.htmlcs
dc.rightsCreative Commons Attribution 2.0 Genericcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2100-014X/cs
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/cs
dc.subjectaerosolen
dc.subjectdepositionen
dc.subjecthuman lungsen
dc.subjectfibersen
dc.subjectdeposition fraction and efficiencyen
dc.subjectimage analysisen
dc.subjectphase-contrast microscopyen
dc.subjectaerosol
dc.subjectdeposition
dc.subjecthuman lungs
dc.subjectfibers
dc.subjectdeposition fraction and efficiency
dc.subjectimage analysis
dc.subjectphase-contrast microscopy
dc.titleAnalysis of fiber deposition using automatic image processing methoden
dc.title.alternativeAnalysis of fiber deposition using automatic image processing methoden
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-95365en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:52:14en
sync.item.modts2025.10.14 10:21:40en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Energetický ústavcs

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