# edxia
Analyse SEM-BSE and SEM-EDS maps.
[Scanning Electron Microscopy (SEM)](https://en.wikipedia.org/wiki/Scanning_electron_microscope "Wikipedia link") coupled with [Energy-Dispersive Spectroscopy (EDX)](https://en.wikipedia.org/wiki/Energy-dispersive_X-ray_spectroscopy "wikipedia link") is an imaging technique used in the cement community to learn more about the microstructure of the material.
This python package aims to offer tools to analyse and correlate this information.
## Features
- Superpixel subsampling to extract representative points from the maps
- A [Glue](http://glueviz.org/) plugins to provide a user-friendly way to identify phases using the well-known ratios plots
- Analysis functions to measure phase distributions, also available graphically
- Python API to automate analysis
- Based on robust and well-known framework such as scipy/scikit-image/pandas
## References
- Fabien Georget, William Wilson, Karen Scrivener, Comprehensive microstructure phase characterization from quantified SEM-EDS maps in cementitious materials, *in preparation*
## Install
edxia can be installed using [pip](https://pip.pypa.io/en/stable/) or [conda](https://www.anaconda.com/distribution).
pip install edxia
ou
conda install -c specmicp edxia
## About
This code is developed by Fabien Georget (fabien "dot" georget "AT" epfl "dot" ch) in the [laboratory of construction materials](https://lmc.epfl.ch/) at [EPFL](https://epfl.ch). This work is part of a collaboration with William Wilson (EPFL, Sherbrooke University).
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"description": "# edxia\n\nAnalyse SEM-BSE and SEM-EDS maps.\n\n[Scanning Electron Microscopy (SEM)](https://en.wikipedia.org/wiki/Scanning_electron_microscope \"Wikipedia link\") coupled with [Energy-Dispersive Spectroscopy (EDX)](https://en.wikipedia.org/wiki/Energy-dispersive_X-ray_spectroscopy \"wikipedia link\") is an imaging technique used in the cement community to learn more about the microstructure of the material.\n\nThis python package aims to offer tools to analyse and correlate this information.\n\n## Features\n\n- Superpixel subsampling to extract representative points from the maps\n- A [Glue](http://glueviz.org/) plugins to provide a user-friendly way to identify phases using the well-known ratios plots\n- Analysis functions to measure phase distributions, also available graphically\n- Python API to automate analysis\n- Based on robust and well-known framework such as scipy/scikit-image/pandas\n\n## References\n\n- Fabien Georget, William Wilson, Karen Scrivener, Comprehensive microstructure phase characterization from quantified SEM-EDS maps in cementitious materials, *in preparation*\n\n\n## Install\n\nedxia can be installed using [pip](https://pip.pypa.io/en/stable/) or [conda](https://www.anaconda.com/distribution). \n\n pip install edxia\n\nou\n\n conda install -c specmicp edxia\n \n## About\n\nThis code is developed by Fabien Georget (fabien \"dot\" georget \"AT\" epfl \"dot\" ch) in the [laboratory of construction materials](https://lmc.epfl.ch/) at [EPFL](https://epfl.ch). This work is part of a collaboration with William Wilson (EPFL, Sherbrooke University). \n",
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