On the 22nd of November, TEMUL welcomed Magnus Nord from the University of Glasgow. Magnus is one of the main developers of the software HyperSpy, an open source Python library. HyperSpy provides tools to facilitate interactive data analysis of multi-dimensional datasets (e.g. EELS spectrum images). HyperSpy makes it easy and natural to apply analytical procedures that operate on an individual signal to multi-dimensional arrays.

Firstly, Magnus gave us an introduction into Jupyter Notebooks, an open-source web application that allows users to create and share documents that contain live code, equations, visualisations and narrative text. Jupyter Notebooks are currently been used by many institutions as a means to share open data in an easily accessible and interactive format. During the workshop, we used Jupyter Notebooks to run our code, allowing us to step through each exercise at a comfortable pace and fully understand the capabilities of HyperSpy.

After we had all become acquainted with the basics of HyperSpy, Magnus gave us several examples of its functionality. We used HyperSpy for EELS and EDS analysis and learned how to use Lazy loading to analyse pixelated STEM data. Additionally, we used Atomap, a Python library developed by Magnus, to analyse atomic resolution STEM data. The training gave the group a great insight into burgeoning new software and its applications within our own research.