Paper
1 May 2002 Characterization of cervical normal and abnormal tissues by synchronous luminescence spectroscopy
Nammalver Vengadesan, Thalaimuthu Anbupalam, Srinivasan Hemamalini, Jeyasingh Ebenezar, Kulandhaivel Muthvelu, D. Koteeswaran, Prakasa Rao Aruna, Singaravelu Ganesan
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Abstract
Fluorescence spectroscopy has emerged as a promising modality in the discrimination of normal from pathologically diseased cells and tissues. As tissues are highly heterogeneous with many native fluorophores, emission spectra at one or more excitation wavelengths or excitation spectra corresponding to one or more emission wavelengths are used for diagnostic purpose. This could be overcome to great extent by applying synchronous luminescence spectroscopy. In the present study, synchronous luminescence fluorescence spectra of normal, pre malignant and malignant cervical tissues are measured by scanning both excitation and emission monochromator simultaneously with a wavelength difference of 20nm. The synchronous luminescence spectra of normal, pre-malignant and malignant cervical tissues shows the distinct peaks around 300, 350, 525nm with broad peak around 460nm and this may be due to tryptophan, collagen and flavin respectively. The broad band around 460nm may be due to the presence of pyridoxal phosphate, carotenes and lipopigments. Spectral data are also evaluated by both empirical and statistical analysis. Among the various analysis partial least square analysis provides better accuracy than other analysis in the discrimination of normal from abnormal tissues.
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Nammalver Vengadesan, Thalaimuthu Anbupalam, Srinivasan Hemamalini, Jeyasingh Ebenezar, Kulandhaivel Muthvelu, D. Koteeswaran, Prakasa Rao Aruna, and Singaravelu Ganesan "Characterization of cervical normal and abnormal tissues by synchronous luminescence spectroscopy", Proc. SPIE 4613, Optical Biopsy IV, (1 May 2002); https://doi.org/10.1117/12.465247
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Cited by 11 scholarly publications.
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KEYWORDS
Tissues

Luminescence

Statistical analysis

Spectroscopy

Principal component analysis

Collagen

Diagnostics

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