Multidimensional non-linear laser imaging of Basal Cell Carcinoma

Year: 2007

Authors: Cicchi R., Massi D., Sestini S., Carli P., De Giorgi V., Lotti T., Pavone F.S.

Autors Affiliation: LENS and Department of Physics, University of Florence, Via Nello Carrara 1, 50019, Sesto Fiorentino, Italy;
Department of Human Pathology and Oncology, University of Florence, Viale Morgagni 58, 50134, Florence, Italy;
Department of Dermatology, University of Florence, Via della Pergola 62, 50121, Florence, Italy;

Abstract: We have used a multidimensional non-linear laser imaging approach to visualize ex-vivo samples of basal cell carcinoma (BCC). A combination of several non-linear laser imaging techniques involving fluorescence lifetime, multispectral two-photon and second-harmonic generation imaging has been used to image different skin layers. This approach has elucidated some morphological (supported by histopathological images), biochemical, and physiochemical differences of the healthy samples with respect to BCC ones. In particular, in comparison with normal skin, BCC showed a blue-shifted fluorescence emission, a higher fluorescence response at 800 nm excitation wavelength and a slightly longer mean fluorescence lifetime. Finally, the use of aminolevulinic acid as a contrast agent has been demonstrated to increase the constrast in tumor border detection. The results obtained provide further support for in-vivo non-invasive imaging of Basal Cell Carcinoma. (C) 2007 Optical Society of America.

Journal/Review: OPTICS EXPRESS

Volume: 15 (16)      Pages from: 10135  to: 10148

KeyWords: Amino acids; Laser beam effects; Nonlinear analysis; Oncology; Optical systems; Tumors, Aminolevulinic acid; Fluorescence lifetime; Histopathological images; Non-linear laser imaging, Image analysis
DOI: 10.1364/OE.15.010135

ImpactFactor: 3.709
Citations: 98
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-10-06
References taken from IsiWeb of Knowledge: (subscribers only)

Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here