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dc.contributor.authorChang, Chi-Yingen_US
dc.contributor.authorChang, Chia-Chien_US
dc.contributor.authorHsiao, Tzu-Chienen_US
dc.date.accessioned2014-12-08T15:34:13Z-
dc.date.available2014-12-08T15:34:13Z-
dc.date.issued2013-11-01en_US
dc.identifier.issn1422-0067en_US
dc.identifier.urihttp://dx.doi.org/10.3390/ijms141122436en_US
dc.identifier.urihttp://hdl.handle.net/11536/23465-
dc.description.abstractExcitation-emission matrix (EEM) fluorescence spectroscopy is a noninvasive method for tissue diagnosis and has become important in clinical use. However, the intrinsic characterization of EEM fluorescence remains unclear. Photobleaching and the complexity of the chemical compounds make it difficult to distinguish individual compounds due to overlapping features. Conventional studies use principal component analysis (PCA) for EEM fluorescence analysis, and the relationship between the EEM features extracted by PCA and diseases has been examined. The spectral features of different tissue constituents are not fully separable or clearly defined. Recently, a non-stationary method called multi-dimensional ensemble empirical mode decomposition (MEEMD) was introduced; this method can extract the intrinsic oscillations on multiple spatial scales without loss of information. The aim of this study was to propose a fluorescence spectroscopy system for EEM measurements and to describe a method for extracting the intrinsic characteristics of EEM by MEEMD. The results indicate that, although PCA provides the principal factor for the spectral features associated with chemical compounds, MEEMD can provide additional intrinsic features with more reliable mapping of the chemical compounds. MEEMD has the potential to extract intrinsic fluorescence features and improve the detection of biochemical changes.en_US
dc.language.isoen_USen_US
dc.subjectexcitation-emission matrix (EEM)en_US
dc.subjectmulti-dimensional ensemble empirical mode decomposition (MEEMD)en_US
dc.titleFluorescence Intrinsic Characterization of Excitation-Emission Matrix Using Multi-Dimensional Ensemble Empirical Mode Decompositionen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ijms141122436en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF MOLECULAR SCIENCESen_US
dc.citation.volume14en_US
dc.citation.issue11en_US
dc.citation.spage22436en_US
dc.citation.epage22448en_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000328624400074-
dc.citation.woscount0-
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