Recent technological advances in fiber optics, light sources, detectors, and molecular biology have stimulated
unprecedented development of optical methods to detect pathological changes in tissues. These methods, collectively
termed "optical biopsy," are nondestructive in situ and real-time assays. Optical biopsy techniques as fluorescence
spectroscopy, polarized light scattering spectroscopy, optical coherence tomography, confocal reflectance microscopy,
and Raman spectroscopy had been extensively used to characterize several pathological tissues. In special, Raman
spectroscopy technique had been able to probe several biochemical alterations due to pathology development as change
in the DNA, glycogen, phospholipid, non-collagenous proteins. All studies claimed that the optical biopsy methods were
able to discriminate normal and malignant tissues. However, few studies had been devoted to the discrimination of very
common subtle or early pathological states as inflammatory process, which are always present on, e.g., cancer lesion
border. In this work we present a systematic comparison of optical biopsy data on several kinds of lesions were
inflammatory infiltrates play the role (breast, cervical, and oral lesion). It will be discussed the essential conditions for
the optimization of discrimination among normal and alterated states based on statistical analysis.
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