Autofluorescence Imaging and Spectroscopy of Human Lung Cancer
AbstractLung cancer is one of the most common cancers, with high mortality rate worldwide. Autofluorescence imaging and spectroscopy is a non-invasive, label-free, real-time technique for cancer detection. In this study, lung tissue sections excised from patients were detected by laser scan confocal microscopy and spectroscopy. The autofluorescence images demonstrated the cellular morphology and tissue structure, as well as the pathology of stained images. Based on the spectra study, it was found that the majority of the patients showed discriminating fluorescence in tumor tissues from normal tissues. Therefore, autofluorescence imaging and spectroscopy may be a potential method for aiding the diagnosis of lung cancer. View Full-Text
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Wang, M.; Long, F.; Tang, F.; Jing, Y.; Wang, X.; Yao, L.; Ma, J.; Fei, Y.; Chen, L.; Wang, G.; Mi, L. Autofluorescence Imaging and Spectroscopy of Human Lung Cancer. Appl. Sci. 2017, 7, 32.
Wang M, Long F, Tang F, Jing Y, Wang X, Yao L, Ma J, Fei Y, Chen L, Wang G, Mi L. Autofluorescence Imaging and Spectroscopy of Human Lung Cancer. Applied Sciences. 2017; 7(1):32.Chicago/Turabian Style
Wang, Mengyan; Long, Feng; Tang, Feng; Jing, Yueyue; Wang, Xinyi; Yao, Longfang; Ma, Jiong; Fei, Yiyan; Chen, Li; Wang, Guifang; Mi, Lan. 2017. "Autofluorescence Imaging and Spectroscopy of Human Lung Cancer." Appl. Sci. 7, no. 1: 32.
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