dc.contributor.authorGu, Jun
dc.contributor.authorFu, Chit Yaw
dc.contributor.authorNg, Beng Koon
dc.contributor.authorRazul, Sirajudeen Gulam
dc.contributor.authorLim, Soo Kim
dc.date.accessioned2014-10-30T02:56:02Z
dc.date.available2014-10-30T02:56:02Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.citationGu, J., Fu, C. Y., Ng, B. K., Razul, S. G., & Lim, S. K. (2014). Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections. Journal of biophotonics, 7(7), 483-491.en_US
dc.identifier.issn1864-063Xen_US
dc.identifier.urihttp://hdl.handle.net/10220/24156
dc.description.abstractThe use of conventional fluorescence microscopy for characterizing tissue pathological states is limited by overlapping spectra and the dependence on excitation power and fluorophore concentration. Fluorescence lifetime imaging microscopy (FLIM) can overcome these limitations due to its insensitivity to fluorophore concentration, excitation power and spectral similarity. This study investigates the diagnosis of early cervical cancer using FLIM and a neural network extreme learning machine classifier. A concurrently high sensitivity and specificity of 92.8% and 80.2%, respectively, were achieved. The results suggest that the proposed technique can be used to supplement the traditional histopathological examination of early cervical cancer.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesJournal of biophotonicsen_US
dc.rights© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.en_US
dc.subjectDRNTU::Science::Biological sciences::Microbiology::Immunology
dc.titleQuantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sectionsen_US
dc.typeJournal Article
dc.contributor.researchTemasek Laboratoriesen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1002/jbio.201200202


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