MANTiS is a Multivariate ANalysis Tool for x-ray Spectromicroscopy
Project description
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
Run
Installation via pip provides the mantis-xray
command to start the Mantis GUI.
User Guide
Mantis User Guide can be found on https://docs.spectromicroscopy.com/.
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]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for mantis_xray-3.0.11-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3fca5a989a33032b935c3b515d91f6f5794403712502c25c92f9799459f7feea |
|
MD5 | 82df1bbae3e9f6c4df85ede91ce7f4ec |
|
BLAKE2b-256 | b6e69b7b126427fba8625d20e0d7002beafcf3ab876150564684de88f3538f29 |