Literature DB >> 10513130

Quantitative laser scanning confocal autofluorescence microscopy of normal, premalignant, and malignant colonic tissues.

H W Wang1, J Willis, M I Canto, M V Sivak, J A Izatt.   

Abstract

Laser scanning confocal autofluorescence microscopy (LSCAM) using 351- to 364-nm excitation light was used to quantitatively compare fluorescent spectral emission of unstained, frozen histological sections of normal, premalignant, and malignant colonic tissues. To identify the spatial origins of fluorescent signals accurately, the same frozen section slides used for microscopy were fixed and histochemically stained immediately following LSCAM imaging. Tissue fluorescence emission was quantified in terms of the intrinsic fluorescence coefficient beta (lambda), defined as the fluorescence power per unit tissue volume per unit wavelength (centered at lambda) divided by the incident light irradiance. Over all emission wavelengths, colonic tissues emitted autofluorescence ranging from beta (lambda) approximately 10(-1.5) to 10(-3.0) cm-1. In the 530- to 610-nm spectral region, markedly increased autofluorescence (beta up to 10(-2.5)) was observed in the dysplastic cells of adenomatous polyps, as compared to normal epithelial cells. Compared to adenomatous polyps, decreased dysplastic cell autofluorescence was observed in adenocarcinoma. The brightest fluorescence in the lamina propria, which was attributed to eosinophils (beta approximately 10(-2.5)) in previous studies, was also observed in other granular structures (beta up to 10(-1.4)). LSCAM reveals quantitative significant differences in fluorescence emission between normal and diseased colonic tissues.

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Year:  1999        PMID: 10513130     DOI: 10.1109/10.790502

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  Fluorescence spectroscopy of neoplastic and non-neoplastic tissues.

Authors:  N Ramanujam
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Layer-resolved colorectal tissues using nonlinear microscopy.

Authors:  Lianhuang Li; Hongsheng Li; Zhifen Chen; Shuangmu Zhuo; Changyin Feng; Yinghong Yang; Guoxian Guan; Jianxin Chen
Journal:  Lasers Med Sci       Date:  2015-05-24       Impact factor: 3.161

3.  Early detection of premalignant changes in cell cultures using light-induced fluorescence spectroscopy.

Authors:  E Bogomolny; Shaul Mordechai; A Zwielly; M Huleihel
Journal:  Eur Biophys J       Date:  2009-06-05       Impact factor: 1.733

4.  Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser Endomicroscopy.

Authors:  Pejman Rasti; Christian Wolf; Hugo Dorez; Raphael Sablong; Driffa Moussata; Salma Samiei; David Rousseau
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  4 in total

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