Pharmaceutical Research with Topographic Confocal Raman Imaging
February 4th 2016The application note gives an overview of several pharmaceutical dosage forms and drug systems investigated by topographic confocal Raman imaging which facilitates accurate chemical characterization of even rough and inclined samples.
Analysis of Polymorphic Materials on the RISE
February 1st 2016RISE microscopy, the combination of Raman imaging and scanning electron microscopy, is a powerful new analytical method for the analysis and interrelation of the structure and composition of microscopic samples. The integration of both imaging techniques in one instrument avoids shuttling the sample from one microscope to another. Here we demonstrated its usefulness in the identification, discrimination, and localization of polymorphs of titanium dioxide.
Imaging of Graphene with Combined Raman-AFM, SNOM, Nearfield-Raman, and Raman-SEM (RISE)
March 19th 2015Raman, AFM and SEM imaging provide information regarding the characterization of chemical and structural properties. In this application note you will gain an overview of the WITec imaging techniques through various application examples from graphene research.
Investigations of Pharmaceutical Drug Delivery Systems with Topographic Confocal Raman Imaging
March 19th 2015The application note gives an overview of several pharmaceutical dosage forms and drug systems investigated by topographic confocal Raman imaging which facilitates accurate chemical characterization of even rough and
Chemometric Raman Imaging Data Analysis
September 1st 2009The development of advanced polymeric materials requires detailed information about the phase separation process on the nanometer scale. Confocal Raman microscopy contributes to the analysis of such materials by visualizing the distribution of individual components based on the unique Raman spectra for different polymeric materials. Using a confocal setup, polymer domains can be imaged three-dimensionally with a resolution down to 200 nm. As a Raman image typically consists of tens of thousands of spectra, a powerful data analysis software is essential in order to extract the relevant information. Hidden structures in the images should ideally be visualized automatically, ensuring an objective and consistent interpretation of the imaging data.