activity
20162025
most citedpy4DSTEM: a software package for multimodal analysis of four-dimensional scanning transmission electron microscopy datasets

352 citations · 1.2k across the 19 of their papers we have counts for

collaborators

21 papers

physics.ins-det2025★ 3 cited

Liquid Helium Cryogenic TEM below 1 Å

Suk Hyun Sung, Maya Gates, Nishkarsh Agarwal +10

Next-generation cryogenic transmission electron microscopes (TEM) aim to achieve high-resolution imaging at ultracold sample temperatures (< 90 K) and over extended hold times. Low…

cond-mat.mtrl-sci2025★ 3 cited

Quantitative approaches for multi-scale structural analysis with atomic resolution electron microscopy

Noah Schnitzer, Lopa Bhatt, Ismail El Baggari +4

Atomic-resolution imaging with scanning transmission electron microscopy is a powerful tool for characterizing the nanoscale structure of materials, in particular features such as…

cond-mat.mtrl-sci2024

Random Forest Prediction of Crystal Structure from Electron Diffraction Patterns Incorporating Multiple Scattering

Samuel P. Gleason, Alexander Rakowski, Stephanie M. Ribet +5

Diffraction is the most common method to solve for unknown or partially known crystal structures. However, it remains a challenge to determine the crystal structure of a new materi…

cond-mat.mtrl-sci2023★ 30 cited

Iterative Phase Retrieval Algorithms for Scanning Transmission Electron Microscopy

Georgios Varnavides, Stephanie M. Ribet, Steven E. Zeltmann +7

Scanning transmission electron microscopy (STEM) has been extensively used for imaging complex materials down to atomic resolution. The most commonly employed STEM modality, annula…

physics.ins-det2023★ 35 cited

The 4D Camera: an 87 kHz direct electron detector for scanning/transmission electron microscopy

Peter Ercius, Ian J. Johnson, Philipp Pelz +19

We describe the development, operation, and application of the 4D Camera -- a 576 by 576 pixel active pixel sensor for scanning/transmission electron microscopy which operates at 8…

cond-mat.mtrl-sci2022★ 7 cited

Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns

Joydeep Munshi, Alexander Rakowski, Benjamin H Savitzky +7

Implementation of a fast, robust, and fully-automated pipeline for crystal structure determination and underlying strain mapping for crystalline materials is important for many tec…