Dresden 2026 – scientific programme

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TUT: Tutorien

TUT 1: Hands-on Tutorial: HyperSpy – Multidimensional data analysis using Python (joint session FM/TUT)

TUT 1.4: Tutorial

Sunday, March 8, 2026, 17:15–17:45, HSZ/0002

Hyperspy for Electron Energy-loss Spectroscopy — •Hannah Nerl — Humboldt Universität zu Berlin, Berlin, Germany

This hands-on session demonstrates a complete electron energy-loss spectroscopy (EELS) analysis workflow using HyperSpy and its exSpy extension. Participants will work through practical examples covering essential preprocessing steps including spectral alignment and drift correction, followed by quantitative analysis techniques such as model-based peak fitting and automated peak tracking across multidimensional datasets. The tutorial emphasizes reproducible analysis pipelines, showcasing how to leverage principal component analysis (PCA) for noise reduction in low-signal regimes. All examples use real EELS datasets and focus on practical workflows applicable to both core-loss and low-loss spectroscopy of 2D materials and nanostructures. Participants will gain hands-on experience with Jupyter notebooks that can be directly adapted to their own research data.

Keywords: Electron microscopy; HyperSpy; Data Analysis; Spectroscopy; EELS