PtyRAD: Ptychographic Reconstruction with Automatic Differentiation

riCOM (real time centre of mass) application for 4D STEM

A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality

4DExplorer: Four dimensional scanning transmission electron microscopy (4D-STEM) imaging, reconstruction and data analysis.

Toolkit for 4D STEM processing on HPC using a Python interface and C++ engine. https://stempy.readthedocs.io/

Calibration of 4D STEM dataset

A 4D-STEM GUI data browser for py4DSTEM

A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality

AutoDisk is a method to analyze 4D-STEM datasets and estimate lattice parameters. Here, we show a demo to walk the user through each step in this process.

AI-assisted rapid phase imaging for 4D-STEM

Code for open-source ptychographic phase reconstructions of 4D-STEM data acquired with the Dectris ARINA detector at the University of Vienna.

JAX based ptychography reconstructions through differentiable programming.

DIY: Using Python to Process 4D STEM data, code for NUANCE/Gatan virtual workshop on December 9, 2020.

Convert a 4D-STEM dataset to a 2D-powder diffractogram.

Manifold, Clustering, Interactive visualization

4D STEM directly on raw ASI CheeTah T3, Advacam TPX3 or QD Merlin data

4D-STEM acquisition/visualization software including EELS/EDS SI and tomography

SymmetrySTEM - symmetry analysis in 4D-STEM data

No description available

Image processing tool box for 4D-STEM / scanning electron nanodiffraction datasets.

Code for "Multi-slice Electron Ptychographic Tomography for Three-dimensional Phase-contrast Microscopy beyond the Depth of Focus Limits"

No description available

Complete demonstration notebooks for the NorTEMHub workshop on 4D-STEM data analysis in Trondheim 11-13 June, 2024. Program: https://www.ntnu.edu/temgemini/nordtemhub

Deep kernel learning is applied here to multidimensional 4D STEM data.

The repository hosts the code for aberration-corrected bright-field (acBF-STEM) imaging and python scripts to reproduce figures in manuscript "Using Aberrations to Improve Dose-Efficient Tilt-corrected 4D-STEM Imaging".

A Python Package for Processing 4D-STEM datasets.

Code for "Clustering Diffraction Vectors from Overlapping Structures in 4D STEM Data Sets"

Electron diffuse scattering analysis procedure for crystalline materials via 4D-STEM

Quantitative potential optimisation code via scattering matrix fomalism in 4D-STEM

Tools for creating and comparing (q,x)-plots from 4D STEM data