Raman in Multimodal Hyperspectral Imaging

5 mm and is mapped with 5 dm steps these data are good for characterizing a single domain (Table 11.3). 

The magnesium image showed many small spots that may, or may not, have been Mg-rich. Based on the label information, magnesium was known to be present in the sample however, if this had been an unknown sample then the image would have been of insufficient quality to determine the presence of magnesium. 

Raman hyperspectral imaging provides an excellent means of characterizing the chemical and spatial composition of pharmaceutical products. The most important point when performing successful Raman hyperspectral imaging is to understand the intertwined relationship between spectroscopy and imaging, as the spectral quahty-and especially the spectral resolution and SNR-will have a direct impact on the spatial quality produced. 

The underlying assumptions for multivariate analysis are different for macro- and microanalyses. While Raman hyperspectral imaging is preferred for microanalysis and heterogeneous samples, macroanalysis has been shown preferable for homogeneous samples. However, whichever approach is utilized the 

In addition, EDXRF hyperspectral imaging can be employed to detect the elemental distribution of the sample, with the results being used to complement Raman hyperspectral imaging. 

---