Statistical analysis and plasmonic effects to extend the use of Raman spectroscopy in biochemistry

The main goal is to provide a systematical study of several advanced mathematical approaches for processing Raman data and to compare their ability to get otherwise inaccessible biochemical informa tion. Together with applications of SERS as a mean to increase the Raman efficiency, this combination is used in a broad range of applications, such as Raman Spectroscopy analysis of the retina reveals changes in glutamate, N-Acetyl-Aspartate, NADH and phosphatidylcholine in neuroinflammation, a stratification of malignancy metabolic stress response of human metastatic breast cancer cells in lungs.