Training material used during the 2024 HyperSpy Workshop at the European Microscopy Congress 2024 in Copenhagen.
(Not working for the pyxem and eXSpy notebooks)
➡️ https://francisco-dlp.github.io/EMC2024_HyperSpy_Workshop_jupyterlite/
Haderup auditoriet, Panum Instituttet, Blegdamsvej 3, 2200 Kbh. N. (Careful, not CFIM, but Haderup auditoriet).
The workshop will take place from 9:00 to 17:00 CEST on Sunday the 25th of September.
| Time | Activity | Presenter |
|---|---|---|
| 8:30-9:00 | Welcome coffee/tea | |
| 9:00-9:15 | Introduction talk | Francisco de la Peña |
| 9:15-10:30 | 1. Getting started | Magnus Nord |
| 10:30-10:45 | Coffee break | |
| 10:45-11:30 | 2. Decomposition and BSS | Francisco de la Peña |
| 11:30-12:15 | 3. Curve fitting | Francisco de la Peña |
| 12:15-13:00 | 4. EDX with eXSpy | Katherine MacArthur |
| 13:00-13:45 | Lunch break | |
| 13:45-14:30 | 5. EELS with eXSpy | Francisco de la Peña |
| 14:30-15:15 | 6. Cathodoluminescence with LumiSpy | Gunnar Kusch |
| 15:15-15:30 | Coffee break | |
| 15:30-16:15 | 7. Lazy signals for Big Data | Magnus Nord |
| 16:15-17:00 | 8. 4D-STEM with Pyxem | Magnus Nord |
The numbered activities correspond to the tutorials in the folders of this repository.
- Francisco de la Peña (University of Lille)
- Gunnar Kusch (University of Cambridge)
- Håkon Wiik Ånes (xnovotech)
- Hedda Christine Soland (Lund University)
- Katherine MacArthur (Oxford Instruments)
- Kristian Tveitstol (NTNU)
- Magnus Nord (NTNU)
- Sivert J.V. Dagenborg (NTNU)
Download the zip-file from this link: https://filesender.sikt.no/?s=download&token=000ee6a7-008e-4a63-aada-67706ef762bc
To use the Jupyter Notebooks in this repository, you need to install some software packages first. It installation instructions for beginners and advanced users can be found below.
The easiest way to install all the software required to run the Jupyter Notebooks in this repository is to install the HyperSpy Bundle that you can download from here.
If you prefer to customize your installation, we suggest installing a conda distribution (we suggest MiniForge) and install all the required Python packages in a dedicated environment executing the following commands in a terminal (the conda prompt in Windows):
conda install nb_conda_kernels jupyterlab start_jupyter_cm ipympl -c conda-forge
conda create -n hyperspy_EMC2024 python=3.11 hyperspy pyxem ipympl exspy lumispy ipykernel -c conda-forgeTo add Jupyter to the context menu of your file browser execute the following command:
start_jupyter_cmTo use HyperSpy in JupyterLab, start Jupyter Lab and choose the Python [conda env:hyperspy_EMC2024] kernel. Alternatively, start JupyterLab from the hyperspy_EMC2024 environment as follows:
conda activate hyperspy_EMC2024
jupyter lab