activity
20152024
most citedpy4DSTEM: a software package for multimodal analysis of four-dimensional scanning transmission electron microscopy datasets

352 citations · 973 across the 19 of their papers we have counts for

collaborators

19 papers

cond-mat.mtrl-sci2024★ 20 cited

Uncovering the Three-Dimensional Structure of Upconverting Core-Shell Nanoparticles with Multislice Electron Ptychography

Stephanie M. Ribet, Georgios Varnavides, Cassio C. S. Pedroso +4

In photon upconverting core-shell nanoparticles, structure strongly dictates performance. Conventional imaging in scanning transmission electron microscopy has sufficient resolutio…

cond-mat.mtrl-sci2023★ 1 cited

High-resolution 3D phase-contrast imaging beyond the depth of field limit via ptychographic multi-slice electron tomography

Andrey Romanov, Min Gee Cho, Mary Cooper Scott +2

Resolving single atoms in large-scale volumes has been a goal for atomic resolution microscopy for a long time. Electron microscopy has come close to this goal using a combination…

cond-mat.mtrl-sci2023

A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)

Luis Rangel DaCosta, Katherine Sytwu, Catherine Groschner +1

Machine learning techniques are attractive options for developing highly-accurate automated analysis tools for nanomaterials characterization, including high-resolution transmissio…

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…

cond-mat.mtrl-sci2023

Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets

Katherine Sytwu, Luis Rangel DaCosta, Mary C. Scott

Neural networks are promising tools for high-throughput and accurate transmission electron microscopy (TEM) analysis of nanomaterials, but are known to generalize poorly on data th…

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…

physics.comp-ph2023★ 26 cited

Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

Jonathan Schwartz, Zichao Wendy Di, Yi Jiang +15

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required fo…

physics.app-ph2022★ 56 cited

Solving Complex Nanostructures With Ptychographic Atomic Electron Tomography

Philipp M Pelz, Sinead Griffin, Scott Stonemeyer +6

Transmission electron microscopy (TEM) is a potent technique for the determination of three-dimensional atomic scale structure of samples in structural biology and materials scienc…

cond-mat.mtrl-sci2022★ 26 cited

Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis

Katherine Sytwu, Catherine Groschner, Mary C. Scott

Trained neural networks are promising tools to analyze the ever-increasing amount of scientific image data, but it is unclear how to best customize these networks for the unique fe…

cond-mat.mtrl-sci2021★ 91 cited

Automated Crystal Orientation Mapping in py4DSTEM using Sparse Correlation Matching

Colin Ophus, Steven E Zeltmann, Alexandra Bruefach +4

Crystalline materials used in technological applications are often complex assemblies composed of multiple phases and differently oriented grains. Robust identification of the phas…

cond-mat.mtrl-sci2021★ 2 cited

Simultaneous Successive Twinning Captured by Atomic Electron Tomography

Phillip M. Pelz, Catherine K. Groschner, Alexandra Bruefach +3

Shape-controlled synthesis of multiply twinned nanostructures is heavily emphasized in nanoscience, in large part due to the desire to control the size, shape, and terminating face…

cond-mat.mtrl-sci2021★ 6 cited

Real-time interactive 4D-STEM phase-contrast imaging from electron event representation data

Philipp M. Pelz, Ian Johnson, Colin Ophus +2

The arrival of direct electron detectors (DED) with high frame-rates in the field of scanning transmission electron microscopy has enabled many experimental techniques that require…

cond-mat.mtrl-sci2021★ 21 cited

A Fast Algorithm for Scanning Transmission Electron Microscopy (STEM) Imaging and 4D-STEM Diffraction Simulations

Philipp M Pelz, Alexander Rakowski, Luis Rangel DaCosta +3

Scanning transmission electron microscopy (STEM) is an extremely versatile method for studying materials on the atomic scale. Many STEM experiments are supported or validated with…

cond-mat.mtrl-sci2021★ 3 cited

Comparative analysis for meaningful interpretation of rare-earth oxide M energy loss edges

Ellis Kennedy, Christina Choi, M. C. Scott

The magnetic, electronic, and optical properties of rare earth-oxides are directly influenced by the valency of the metallic cation. With the development of next generation electro…

cond-mat.mtrl-sci2020

A single-projection three-dimensional reconstruction algorithm for scanning transmission electron microscopy data

Hamish G. Brown, Philipp M. Pelz, Shang-Lin Hsu +13

Increasing interest in three-dimensional nanostructures adds impetus to electron microscopy techniques capable of imaging at or below the nanoscale in three dimensions. We present…

physics.comp-ph2020★ 21 cited

Reconstructing the Scattering Matrix from Scanning Electron Diffraction Measurements Alone

Philipp M Pelz, Hamish G Brown, Jim Ciston +4

Three-dimensional phase contrast imaging of multiply-scattering samples in X-ray and electron microscopy is extremely challenging, due to small numerical apertures, the unavailabil…

cond-mat.mtrl-sci2020★ 352 cited

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

Benjamin H Savitzky, Lauren A Hughes, Steven E Zeltmann +18

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-spee…

eess.IV2020★ 74 cited

Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

C. K. Groschner, Christina Choi, M. C. Scott

In the field of transmission electron microscopy, data interpretation often lags behind acquisition methods, as image processing methods often have to be manually tailored to indiv…

cond-mat.mtrl-sci2015★ 209 cited

Three-dimensional coordinates of individual atoms in materials revealed by electron tomography

Rui Xu, Chien-Chun Chen, Li Wu +11

Crystallography, the primary method for determining the three-dimensional (3D) atomic positions in crystals, has been fundamental to the development of many fields of science. Howe…