Explore Electron Microscopy Data Analysis with Carter Francis and the GLMS Webinar Series

From HyperSpy fundamentals to advanced 4D-STEM analysis, explore a five-part educational webinar series featuring Direct Electron’s Dr. Carter Francis.

Electron microscopy generates increasingly large and complex datasets, creating new opportunities—and challenges—for researchers seeking to extract meaningful information from their experiments.

Open-source Python tools such as HyperSpy, eXSpy, and pyxem are helping scientists visualize, process, and analyze multidimensional microscopy data more efficiently.

To help researchers take advantage of these powerful tools, the Great Lakes Microscopy Society (GLMS) has made its five-part webinar series featuring Dr. Carter Francis, Research & Development Scientist at Direct Electron, available on YouTube.

Whether you’re just getting started with Python-based microscopy analysis or looking to expand your capabilities with advanced diffraction and spectroscopy datasets, this series offers practical guidance for researchers and students.

From HyperSpy Fundamentals to Advanced Data Analysis

The series explores several important aspects of electron microscopy data processing and analysis:

Part 1: Introduction to HyperSpy
Get started with the HyperSpy ecosystem, including loading and visualizing electron microscopy datasets, navigating multidimensional data, and avoiding common challenges encountered by new users.

Part 2: EDS and EELS Analysis with HyperSpy
Explore the use of HyperSpy tools for processing and analyzing energy-dispersive X-ray spectroscopy (EDS) and electron energy-loss spectroscopy (EELS) datasets.

Part 3: EELS Analysis with HyperSpy
Take a closer look at EELS data analysis using eXSpy, a Python extension that provides specialized tools for multidimensional electron energy-loss spectroscopy.

Part 4: Large Data Processing and 4D-STEM (Part 1)
Learn about approaches to working with large electron microscopy datasets and the computational considerations involved in 4D-STEM data processing.

Part 5: 4D-STEM Data Processing with pyxem
Explore pyxem, an open-source Python package for multidimensional diffraction analysis, and its applications in processing 4D-STEM datasets.

Together, these sessions provide a useful introduction to the software ecosystem supporting modern electron microscopy data analysis.

Supporting Open-Source Electron Microscopy

In addition to his research and development work at Direct Electron, Dr. Carter Francis is an active contributor to the open-source scientific software community. He serves on the HyperSpy steering council and is a lead developer of pyxem.

His involvement in these projects reflects Direct Electron’s commitment to advancing electron microscopy not only through detector technology, but also through accessible tools that help researchers make the most of their experimental data.

Watch the Complete Webinar Series

All five sessions are available to watch on demand through the Great Lakes Microscopy Society’s YouTube playlist.

Whether you’re interested in learning the fundamentals of HyperSpy, improving spectroscopy analysis, or exploring advanced 4D-STEM processing workflows, these recordings offer a valuable resource for the microscopy community.

Our thanks to the Great Lakes Microscopy Society for organizing this educational series and making these resources available to researchers everywhere.

Questions?