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MANTiS is Multivariate ANalysis Tool for Spectromicroscopy developed in Python by 2nd Look Consulting. It uses principal component analysis and cluster analysis to classify pixels according to spectral similarity.

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mlerotic/spectromicroscopy

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Spectromicroscopy

Spectromicroscopy combines spectral data with microscopy, where typical datasets consist of a stack of microscopic images taken across an energy range. Due to the data complexity, manual analysis can be time consuming and inefficient, whereas multivariate analysis tools not only reduce the time needed but also can uncover hidden trends in the data.

Mantis

MANTiS is Multivariate ANalysis Tool for Spectromicroscopy developed in Python by 2nd Look Consulting. It uses principal component analysis and cluster analysis to classify pixels according to spectral similarity.

Download

Mantis package and binaries can be downloaded from spectromicroscopy.com. Alternatively, you can install Python and then run the command: python3 -m pip install mantis-xray

Update

You can upgrade to the latest package release with the command: pip3 install mantis-xray -U. It is recommended that you also upgrade the dependencies with: pip3 install mantis-xray -U --upgrade-strategy "eager"

Run

Installation via pip provides the mantis-xray command (alternatively python3 -m mantis_xray) to start the Mantis GUI.

User Guide

Mantis User Guide can be found on the project Wiki pages Home.

References

Please use the following reference when quoting Mantis

Lerotic M, Mak R, Wirick S, Meirer F, Jacobsen C. MANTiS: a program for the analysis of X-ray spectromicroscopy data. J. Synchrotron Rad. 2014 Sep; 21(5); 1206–1212 [http://dx.doi.org/10.1107/S1600577514013964]

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MANTiS is Multivariate ANalysis Tool for Spectromicroscopy developed in Python by 2nd Look Consulting. It uses principal component analysis and cluster analysis to classify pixels according to spectral similarity.

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