Interactive, GPU-accelerated visualization widgets for 4D-STEM and electron microscopy. Use them in Jupyter notebooks, as local HTML files, or from the command line. NumPy, PyTorch, CuPy, CUDA, Apple Silicon, and browser WebGPU workflows are supported.
Demo: Show4DSTEM HTML with WebGPU. Explore live diffraction-pattern and virtual-detector views locally in a browser on a personal laptop or supported phone, without a Python kernel or remote compute server. Thanks to Serin Lee for sharing this liquid-cell Au nanoparticle 4D-STEM dataset. Check Serin's 4D-STEM and 5D-STEM segmentation and clustering work (paper) and the source data (Zenodo).
Start with the documentation
to load ARINA 4D-STEM data in Jupyter, open Show4DSTEM, and explore the
interactive widgets.
quantem.widgetis currently a prototype on TestPyPI and is built on thequantemcore.
pip install -i https://test.pypi.org/simple/ \
--extra-index-url https://pypi.org/simple/ quantem.widgetSee the installation guide for backend setup, Colab instructions, and verification.
| Widget | Use it for | Learn more |
|---|---|---|
Show1D |
Scientific traces, reconstruction metrics, and live monitors | API |
Show2D |
Images, contrast, FFTs, ROIs, profiles, and scale bars | tutorial · API |
Show3D |
Scrub and play through image or volume stacks | tutorial · API |
Show3DSlices |
Inspect orthogonal slices through a 3D volume | tutorial · API |
Show4DSTEM |
Live virtual detectors, multi-dataset review, and WebGPU HTML export | tutorial · export guide · API |
ShowPtycho |
Interactive SSB phase and aberration review | API |
ShowDiffraction |
Measure diffraction spots, rings, spacing, and angles | tutorial · API |
ChooseLattice |
Select an origin and lattice vectors | API |
ShowEDS |
Explore linked EDS/EELS maps and spectra | — |
ShowFolder |
Browse, group, and select microscopy session files | tutorial · API |
Visit the quantem.widget documentation for installation, tutorials, API references, command-line workflows, data I/O, HTML sharing, and WebGPU export guidance.
quantem.widget bridges scientific data and computational algorithms. We
recommend agent-assisted development so researchers can spend less time writing
interface code and more time discovering scientific insight. Start with the copyable
agent-assisted development prompts
for opening ARINA data, designing a widget, or preparing a pull request.
If the quantEM interactive framework—including quantem.widget, GPU-accelerated
I/O, analysis, or reconstruction workflows on MPS or CUDA—contributed to your
research, please consider citing Lee et al., Interactive Framework for
Real-Time 4DSTEM Analysis and Reconstruction, Microscopy and Microanalysis
32 (Supplement 1), ozag053.941 (2026),
https://doi.org/10.1093/mam/ozag053.941.
Contributions are welcome. Read CONTRIBUTING.md for setup, tests, documentation standards, and the pull-request workflow. That workflow follows the reproducible scientific-software procedures described by scikit-package.
Questions and bug reports belong in the issue tracker.