Ultimate control for novel experiments with JEOL TEM/STEMs
- Abstract number
- 520
- Corresponding Email
- [email protected]
- Session
- EMAG - 4D STEM
- Authors
- Dr Damien McGrouther (1)
- Affiliations
-
1. JEOL (UK) Ltd
- Keywords
Transmission Electron Microscopy
Python
In-situ
- Abstract text
In the pursuit of investigating novel material structures and behaviours, controlling key experimental parameters is of the utmost importance. In this TechnoBite talk we will introduce the ability to control almost all aspects of microscope operation using PyJEM Python scripting. We will also highlight unique experimental capabilities in the areas of specimen dose control, optical in-situ excitation and high-speed imaging enabled by the JEOL-IDES EDM Synchrony, Luminary and Relativity systems.
- References