Introduction to SEM-EDS data processing using HyperSpy and Jupyter Notebooks

This lesson was originally given as an interactive tutorial the 6th of May at the Nordic Nanolab User Meeting (NNUM) 2022 at Chalmers University of Technology, with the title "HyperSpy: Reproducible and open source data analysis of Electron Microscopy data using Jupyter Notebooks".

It gives an introduction to JupyterLab, Python and HyperSpy, through looking at a slice-and-view Scanning Electron Microscopy - Energy Dispersive X-ray Spectroscopy (SEM-EDS) dataset. It is intended for people who are familiar with SEM-EDX, but has no experience with JupyterLab, Python and HyperSpy.

This deposit consist of:

- A Jupyter Notebook on how to use JupyterLab
- A Jupyter Notebook on how to analyse SEM-EDS data using HyperSpy
- SEM-EDS and SEM-SE datasets.
- A zip-file containing all these files, to make it easier to download them all.

The sample and the data used in the SEM-EDS notebook are described in P. Burdet, et al., Ultramicroscopy, 148, p. 158-167 (2015). https://doi.org/10.1016/j.ultramic.2014.10.010

The initial version of the SEM-EDS Jupyter Notebook was made by Pierre Burdet. This was adapted by Magnus Nord, to show and explain basic Python and HyperSpy concepts.

Requires:

- HyperSpy 1.7.0 (with GUI libraries)
- JupyterLab

See the requirements.txt