Integrated data converter.
Data preprocessing: alignment, normalization…
Principal component analysis (PCA).
Cluster analysis for classifying pixels according to spectral similarity.
SVD for composition map calculation.
Peak identifier and Xray peak fitting.
Tomographic reconstruction with Compressed Sensing.
MANTiS was developed by 2nd Look Consulting with the support from Argonne National Laboratory, The Advanced Photon Source, Diamond Light Source and McMaster University and contributions from Benjamin Watts (Paul Scherrer Institute) and Jan-David Förster (Max Planck Institute for Chemistry).
 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
 Mak R, Lerotic M, Fleckenstein H, Vogt S, Wild SM, Leyffer S, Sheynkin Y, Jacobsen C. Non-Negative Matrix Analysis for Effective Feature Extraction in X-Ray Spectromicroscopy. Faraday Discussions. 2014 Apr; 171
 Lerotic M, Jacobsen C, Gillow JB, Francis AJ, Wirick S, Vogt S, Maser J. Cluster analysis in soft X-ray spectromicroscopy: Finding the patterns in complex specimens. Journal of Electron Spectroscopy and Related Phenomena. 2005 Jun; 144–147, p:1137-1143
 Lerotic M, Jacobsen C, Schäfer T, Vogt S. Cluster analysis of soft X-ray spectromicroscopy data. Ultramicroscopy. 2004 Jul; 100(1–2), p:35-57