Paper
1 May 2002 Native fluorescence spectroscopy of cervical tissues: classification by different statistical methods
Singaravelu Ganesan, Nammalver Vengadesan, Thalaimuthu Anbupalam, Srinivasan Hemamalini, Prakasa Rao Aruna, P. Karkuzhali
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Abstract
Optical Spectroscopy in the diagnosis of diseases has attracted the medical community due to their minimally invasive nature. Among various optical spectroscopic techniques, native fluorescence spectroscopy has emerged as a potential tool in diagnostic oncology. However, still the reasons for the altered spectral signatures between normal and cancer tissues not yet completely understood. Recently, data reported that emission due to the alteration of some proteins is responsible for the transformation of normal in to malignant one. In this regard, the present study is aimed to characterize the native fluorescence spectroscopy of abnormal and normal cervical tissues, at 280nm excitation. From the study, it is observed that the normal and pathologically diseased cervical tissues have their peak emission around 339 and 336nm respectively with a secondary peak around 440nm. The FWHM value of emission spectra of abnormal tissues is lower than that of normal tissues. The fluorescence spectra of normal and various pathological conditions of cancerous tissues were analyzed by various empirical and statistical methods. Among various type of discriminant analysis, combination of ratio values and linear discrimination method provides better discrimination of normal from pre-malignant and malignant tissues.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Singaravelu Ganesan, Nammalver Vengadesan, Thalaimuthu Anbupalam, Srinivasan Hemamalini, Prakasa Rao Aruna, and P. Karkuzhali "Native fluorescence spectroscopy of cervical tissues: classification by different statistical methods", Proc. SPIE 4613, Optical Biopsy IV, (1 May 2002); https://doi.org/10.1117/12.465255
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Cited by 2 scholarly publications.
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KEYWORDS
Tissues

Statistical analysis

Luminescence

Fluorescence spectroscopy

Proteins

Statistical methods

Diagnostics

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