AI-Driven In Situ Electron Microscopy: From Image Acquisition to Autonomous Analysis

Read our new blog post on AI incorporation in in situ electron microscopy. Integration of machine learning across the entire workflow, from image acquisition to analysis, enables automated data collection, real-time interpretation, and faster extraction of meaningful insights from complex nanoscale experiments.

AI-Driven In Situ Electron Microscopy: From Image Acquisition to Autonomous Analysis

Related Posts

Over three inspiring days, it was fantastic to see such a strong community come together to share knowledge, exchange ideas, and explore the latest developments in in situ TEM. From engaging presentations and hands-on sessions to insightful discussions and new collaborations, the energy throughout the event was truly motivating.
Delphine Clauss discusses her work using Atmosphere AX. She reveals how crystallographic structure, particle size, and chemistry of iridium oxide (IrOx) catalysts, tuned through controlled annealing, critically influence their oxygen evolution reaction (OER) activity and stability, offering atomic-level insights to optimize electrocatalyst performance for water electrolysis.