Raman Spectroscopy and Oncology: Multivariate Statistics Methods for Cancer Grading

Robust Statistics for Multivariate Methods

A RIGOROUS COMPARISON OF METHODS FOR MULTI-WALLED CARBON NANOTUBES PURIFICATION USING RAMAN SPECTROSCOPY

Multi-walled carbon nanotubes (MWNT’s) were synthesized using chemical vapor deposition (CVD) method in a fluidized bed reactor under the flow of methane and hydrogen gases. A Cobalt-molybdenum/magnesium oxide (Co-Mo/MgO) nanocatalyst was used as the catalyst of the process. The samples were analyzed using scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses. The effects of d...

Raman Spectroscopy for Cancer Diagnosis

Raman spectroscopy is a promising new tool for noninvasive, real-time diagnosis of tissue abnormalities. Here, we show evidence of its application for cancer diagnosis in four distinct tissue types: skin, breast, gastrointestinal tract, and cervix. Multivariate statistical analysis and discrimination algorithms allow for automated classification of the spectra into clinically relevant pathologi...

High Performance Method for Skin Roughness Detection Using Raman Spectroscopy

Cancer grading by Fourier transform infrared spectroscopy.

Thirty-nine freeze-dried tissue samples from 17 lymphoid tumors (nine malignant non-Hodgkin's lymphomas) were studied by Fourier transform infrared (FTIR) spectroscopy. The absorbance ratio A1121/A1020 increased, along with the emergence of an absorbance pulse at 1121 cm-1, with increasing clinicopathological grade of malignant lymphoma. An increasing A1121/A1020 ratio from benign to malignant ...