Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections
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 insensitivit...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/101495 http://hdl.handle.net/10220/24156 |
| _version_ | 1824454606334197760 |
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| author | Razul, Sirajudeen Gulam Lim, Soo Kim Gu, Jun Fu, Chit Yaw Ng, Beng Koon |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Razul, Sirajudeen Gulam Lim, Soo Kim Gu, Jun Fu, Chit Yaw Ng, Beng Koon |
| author_sort | Razul, Sirajudeen Gulam |
| collection | NTU |
| description | 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. |
| first_indexed | 2025-02-19T03:24:59Z |
| format | Journal Article |
| id | ntu-10356/101495 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:24:59Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1014952020-03-07T12:47:22Z Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections Razul, Sirajudeen Gulam Lim, Soo Kim Gu, Jun Fu, Chit Yaw Ng, Beng Koon School of Electrical and Electronic Engineering Temasek Laboratories DRNTU::Science::Biological sciences::Microbiology::Immunology 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. 2014-10-30T02:56:02Z 2019-12-06T20:39:15Z 2014-10-30T02:56:02Z 2019-12-06T20:39:15Z 2014 2014 Journal Article 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. 1864-063X https://hdl.handle.net/10356/101495 http://hdl.handle.net/10220/24156 10.1002/jbio.201200202 en Journal of biophotonics © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
| spellingShingle | DRNTU::Science::Biological sciences::Microbiology::Immunology Razul, Sirajudeen Gulam Lim, Soo Kim Gu, Jun Fu, Chit Yaw Ng, Beng Koon Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title_full | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title_fullStr | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title_full_unstemmed | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title_short | Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| title_sort | quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections |
| topic | DRNTU::Science::Biological sciences::Microbiology::Immunology |
| url | https://hdl.handle.net/10356/101495 http://hdl.handle.net/10220/24156 |
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