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Objective: Survival rate of oral squamous cell carcinoma (OSCC) patients isvery poor and can be improved using highly sensitive, specific and accuratetechniques. Autofluorescence and fluorescence techniques are very sensitive anduseful in cancer screening. Furthermore, fluorescence spectroscopy is directlylinked with molecular levels of human tissue and can be used as quantitativetool for cancer detection. Materials and Methods: Here, we report developmentof multi-modal autofluorescence and fluorescence imaging and spectroscopic(MAF-IS) smartphone-based systems for fast and real time oral cancer screening.Fluorescence-autofluorescence images and spectroscopic datasets showssignificant change in oral cancer and normal tissue in terms offluorescence-intensity, spectral-shape, and red-shift respectively. Results: Inthis study, total 68 samples (33 cancerous and 35 normal) of 18 OSCC patientsand 13 patients of precancerous tissues (dysplasia and fibrosis) are screened.Main remarkable finding of the study is presence of three peaks viz ~636 nm,~680 nm and ~705 nm with decrease in intensity around 450 nm ~ 520 nm in OSCCin case of autofluorescence. Another finding is red shift in fluorescencespectroscopy of OSCC, dysplasia and fibrosis from normal which is 6.59+-4.54nm, 3+-4.78 nm and 1.5+-0.5 nm respectively and can be used as cancer marker inreal-time screening. Finally, support vector machine (SVM) based classifier isapplied for classification of OSCC tissue from normal tissue. The averagesensitivity, specificity and accuracy are found as 88.89% ,100 %, and 95%,respectively. Conclusion: Autofluorescence and fluorescence-based imaging andspectroscopy is used for pre-clinical screening of different oral lesions.

Multimodal Optical Techniques in Pre-Clinical Evaluation of Oral Cancer: Fluorescence Imaging and Spectroscopic Devices