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MANTiS is a Multivariate ANalysis Tool for x-ray Spectromicroscopy

Project description


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 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.


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


Installation via pip provides the mantis-xray command to start the Mantis GUI.

User Guide

Mantis User Guide can be found on


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 []

Project details

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Files for mantis-xray, version 3.0.11
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