Paper
22 February 2011 Differentiating human cervical dysplastic and normal tissue through wavelet domain characterization of intrinsic fluorescence
Rajatesh Gudibande, Meghdoot Mozumder, Rajbeer Singh, Prasanta K. Panigrahi, Sharad Gupta, Asima Pradhan
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Abstract
Wavelet Transform based multi-resolution analysis has been used to characterize the intrinsic fluorescence of both dysplastic and normal human cervical tissues. The fluorescence spectra corresponding to 325nm and 370nm excitation from cervical dysplastic tissues of 48 patients from diverse age groups are studied in detail using Morlet wavelet. The wavelet modulus maxima lines for 325nm excitation indicated a distinct shift for dysplastic tissues towards the lower wavelengths with respect to normal ones. For 370nm excitation however, the shift for dysplastic tissues were towards the higher wavelengths. Sensitivities of 72% and 81% for spectral shifts of 325 and 370nm excitations were observed in the wavelength band of 425-500nm of the intensity spectra.
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Rajatesh Gudibande, Meghdoot Mozumder, Rajbeer Singh, Prasanta K. Panigrahi, Sharad Gupta, and Asima Pradhan "Differentiating human cervical dysplastic and normal tissue through wavelet domain characterization of intrinsic fluorescence", Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 790220 (22 February 2011); https://doi.org/10.1117/12.875246
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KEYWORDS
Tissues

Wavelets

Luminescence

Collagen

Continuous wavelet transforms

Scattering

Tumors

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