In this webinar, we will introduce the NEW low dose, live imaging for 4D-STEM from SenseAI.
Professor Nigel Browning, Chair of Electron Microscopy at Liverpool University and CSO of SenseAI will start by taking us through the new 4D-STEM imaging software and why 4D-STEM has historically produced low experimental success rates due to complex workflows, instability (drift), beam damage, slow frame rates, vast data sizes, and a lack of pre-acquisition surveying. With SenseAI, faster imaging via the use of subsampling means that stability issues are minimized and high quality data can be maintained.
We will then hear from Giuseppe Nicotra, Head of Sub-Ångstrom Electron Microscope LAB at CNR-IMM and how they are using the new software to conduct 4D-STEM analysis in real time.
We will conclude with a live demonstration of the 4D-STEM imaging in action performed on the JEOL GrandARM2 at the University of Liverpool, UK.
