You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
19 February 2020Raman microspectroscopy of oral mucosa: exploring Raman mapping in experimental carcinogenesis
Oral cancers are major killers among the South Asian Nations primarily due to late detection. The biochemical variations during cancer progression especially in the early stages needs to be explored to further detection and treatment regimen. Diagnosis and treatment protocols are dependent on histopathology, which is time-consuming and requires high-degree of expertise. Optical techniques such as Raman spectroscopy present immense potential towards label-free objective optical biopsy methods and has been shown to identify healthy, premalignant, cancerous changes along with inflammatory conditions and cancer field-effects in vivo. Raman mapping of tissue-sections can provide molecular level changes in oral mucosa layers during malignant transformation. In the present study, we have undertaken mapping of healthy and carcinogen-treated tissues from Hamster buccal-pouch, the widely used experimental carcinogenesis model. Two parallel cryosections of 5 and 20 micron were obtained. The 5-micron sections were stained to obtain histopathological correlation while selected areas from the 20-micron sections were mapped (WITec-Alpha-300R, 50X objective, 532nm). Maps were constructed using WITec-Project-5.1 software. Spectra from the regions of interest were processed and subjected PCA-based linear discriminant analysis using Unscrambler software. Initial findings suggest several informative clusters in tissue sections and segregation of healthy and tumor spectra with high accuracy. Further studies with more samples will involve analysis of the clusters and detailed correlation with histopathology to understand biochemical and morphological variations to achieve optical biopsy.
The alert did not successfully save. Please try again later.
Arti Hole, Piyush Kumar, Arvind Ingle, C. Murali Krishna, "Raman microspectroscopy of oral mucosa: exploring Raman mapping in experimental carcinogenesis," Proc. SPIE 11213, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020, 1121307 (19 February 2020); https://doi.org/10.1117/12.2546365