Microscopy Solutions Blog

Improving Imaging Data Analysis using “MCR Model Analysis”

Jasco has produced an application note that provides an example of imaging data analysis using “MCR Model Analysis” in the Micro Imaging Analysis program for the IRT-5000/7000 series FT/IR microscopes. MCR Model Analysis is a function which assists analysis in the Micro Imaging Analysis program making it possible to create a sample image without verifying each spectrum in the matrix.

Learn how to improve imaging data analysis using “MCR Model Analysis” >>

Imaging measurements using FT-IR microscopy is widely used to visualize the distribution of components in a sample matrix. In recent years, the variety of imaging methods has increased due to the rapid development of high-speed imaging techniques using multi-channel detectors and IR microscopes. Therefore, it has become possible to select an appropriate imaging method according to the application. Analysis of the enormous amounts of data from imaging measurement can require significant time and special skills.

The distribution of components can easily be discerned by analyzing the imaging data. However, it is also possible that as the quantity of data increases some components in the sample may be missed.

Model Analysis
MCR Model Analysis creates a relative concentration distribution by extracting the principal components
automatically from the measured spectra. Therefore, the imaging plot can be obtained in a very short time without risk of neglecting any components contained in the sample. It is also possible to identify the
components by searching the spectra of the principal components against a spectral database.

MCR Model Analysis Results
The MCR Model Analysis makes it possible to obtain an imaging plot of all contained principal components without selecting a spectrum, which improves the results of database searches.

Learn how to improve imaging data analysis using “MCR Model Analysis” >>


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