Quantitative diagnosis of cervical neoplasia using fluorescence lifetime imaging on haematoxylin and eosin stained tissue sections.

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.

journal_name

J Biophotonics

journal_title

Journal of biophotonics

authors

Gu J,Fu CY,Ng BK,Gulam Razul Ss,Lim SK

doi

10.1002/jbio.201200202

subject

Has Abstract

pub_date

2014-07-01 00:00:00

pages

483-91

issue

7

eissn

1864-063X

issn

1864-0648

journal_volume

7

pub_type

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