Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/101495
Title: | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections | Authors: | Razul, Sirajudeen Gulam Lim, Soo Kim Gu, Jun Fu, Chit Yaw Ng, Beng Koon |
Keywords: | DRNTU::Science::Biological sciences::Microbiology::Immunology | Issue Date: | 2014 | Source: | Gu, 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. | Series/Report no.: | Journal of biophotonics | Abstract: | The 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. | URI: | https://hdl.handle.net/10356/101495 http://hdl.handle.net/10220/24156 |
ISSN: | 1864-063X | DOI: | 10.1002/jbio.201200202 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | Temasek Laboratories | Rights: | © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles TL Journal Articles |
SCOPUSTM
Citations
20
20
Updated on Mar 21, 2024
Web of ScienceTM
Citations
20
16
Updated on Oct 24, 2023
Page view(s) 10
823
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.