py4DSTEM: a software package for multimodal analysis of four-dimensional scanning transmission electron microscopy datasets

20 Mar 2020Benjamin H SavitzkyLauren A HughesSteven E ZeltmannHamish G BrownShiteng ZhaoPhilipp M PelzEdward S BarnardJennifer DonohueLuis Rangel DaCostaThomas C. PekinEllis KennedyMatthew T JanishMatthew M SchneiderPatrick HerringChirranjeevi GopalAbraham AnapolskyPeter ErciusMary ScottJim CistonAndrew M MinorColin Ophus

Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct electron detector, it is now possible to record a full 2D image of the diffracted electron beam at each probe position, typically a 2D grid of probe positions... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.