Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode

dc.bibliographicCitation.firstPage264
dc.bibliographicCitation.issue3
dc.bibliographicCitation.lastPage267
dc.bibliographicCitation.volume6
dc.contributor.authorHornberger, Christoph.
dc.contributor.authorHerrmann, Bert. H.
dc.contributor.authorDaeschlein, Georg
dc.contributor.authorPodewils, Sebastian von
dc.contributor.authorSicher, Claudia
dc.contributor.authorKuhn, Jana
dc.contributor.authorMasur, Kai
dc.contributor.authorMeister, Mareike
dc.contributor.authorWahl, Philip
dc.date.accessioned2023-05-25T10:24:57Z
dc.date.available2023-05-25T10:24:57Z
dc.date.issued2020
dc.description.abstractChronic non-healing wounds represent an increasing problem. In order to enable physicians and nurses to make evidence based decisions on wound treatment, the professional societies call for supporting tools to be offered to physicians. Oxygen supply, bacteria colonization and other parameters influence the healing process. So far, these parameters cannot be monitored in an objective and routinely manner. Existing methods like the microbiological analysis of wound swabs, mean a great deal of effort and partly a long delay. In this paper 42 fluorescence images from 42 patients with diabetic foot ulcer, recorded with a hyperspectral imaging system (TIVITA®), converted for fluorescence imaging, were analysed. Beside the fluorescence images, information about the bacterial colonization is available from microbiological analysis of wound swabs. After preprocessing, principal component analysis, PCA, is used for data analysis with a 405 nm excitation wavelength, the emission wavelength range 510 - 745 nm is used for analysis. After dividing the data into a training and a test dataset it could be shown, that bacteria are detectable in the wound area. A quantification in bacterial colonization counts (BCC) was not in the focus of the research in this study stage.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/12192
dc.identifier.urihttp://dx.doi.org/10.34657/11224
dc.language.isoeng
dc.publisherBerlin : De Gruyter
dc.relation.doihttps://doi.org/10.1515/cdbme-2020-3067
dc.relation.essn2364-5504
dc.relation.ispartofseriesCurrent Directions in Biomedical Engineering 6 (2020), Nr. 3eng
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectbacteriaeng
dc.subjectdiabetic foot ulcereng
dc.subjectfluorescenceeng
dc.subjectinfected woundeng
dc.subjectmedical smear tests hyperspectral imagingeng
dc.subjectprincipal component analysis PCAeng
dc.subject.ddc570
dc.titleDetecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Modeeng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleCurrent Directions in Biomedical Engineering
tib.accessRightsopenAccess
wgl.contributorINP
wgl.subjectBiowissenschaften/Biologieger
wgl.typeZeitschriftenartikelger
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