Multivariate Statistical Analysis (MSA) is a DigitalMicrograph plug-in based on the routine developed by Masashi Watanabe. The MSA implements the PCA (Principle Component Analysis), and finds statistically significant features from 2D and 3D spectrum images (SIs) gathered by spectrometric techniques such as XEDS, EELS, EFTEM and cathodoluminescence.
The PCA tries to explain the observed data using a small number of the principal components, and thus reduces the random noise substantially. Although the PCA approach is very efficient and useful, it may create unexpected artifacts especially in higher noise conditions. Especially, a small amount of signal will be buried in the random noise over the whole processing area. MSA v2.0 (Local PCA) tries to cope with these problems.
MSA v2.0 (Local PCA)
The Local PCA performs the analysis locally by dividing the SI data to small segments in order to increase the PCA sensitivity and thus reduce artifacts. Read More
MSA v3.0
From this version, an opened SI data can be directly processed with the latest DigitalMicrograph. Read More
References and Technical Notes (*Basic Readings)
- * M. Watanabe, E. Okunishi and K. Ishizuka, Analysis of Spectrum-Imaging Datasets in Atomic-Resolution Electron Microscopy, Microscopy and Analysis 23, November 2009
- * K. Ishizuka and M. Watanabe, Local PCA: How to Avoid Unexpected Artifacts from Multivariate Statistical Analysis on STEM Spectrum-Imaging Datasets (Presented at IMC2014 at Prague) (PDF) Poster (PDF)
- M. Watanabe, M. Kanno, D.W. Ackland, C.J. Kiely and D.B. Williams, Applications of Electron Energy-Loss Spectrometry and Energy Filtering in an Aberration-Corrected JEM- 2200FS STEM/TEM, Microscopy and Microanalysis, 13 (2007), Suppl. 2, 1264-1265
- M.G. Burke, M. Watanabe, D.B. Williams and J.M. Hyde, Quantitative characterization of nanoprecipitates in irradiated low alloy steels: advances in the application of FEG-STEM quantitative analysis to real materials, J. Mater. Sci. 41(2006), 4512-4522
Examples (Sample Data)
Download
You have to purchase a license (hardware key) to run this program.
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- MSA v3.0.2
for GMS 3.6 (64bit)
for GMS 3.5 (64bit)
for GMS 3.4 (64bit)
for GMS 3.3 (64bit) (applicable from GMS 3.0)
for GMS 2.3 64bit
for GMS 2.1 64bit (applicable from GMS 2.0)
Required plug-ins.
User Key Driver
Previous versions
- MSA v2.3.1
for GMS 3.5 (64bit)
for GMS 3.4 (64bit)
for GMS 3.3 (64bit) (applicable from GMS 3.0)
for GMS 2.3 64bit
for GMS 2.1 64bit (applicable from GMS 2.0)
Archives
- MSA v2.3.1
for GMS 2.3 32bit
for GMS 2.1 32bit (applicable from GMS 2.0)
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