metadata
license: cc-by-4.0
task_categories:
- image-classification
- image-segmentation
tags:
- electron-microscopy
- 4D-STEM
- materials-science
- quantem
pretty_name: quantem-data
size_categories:
- 1K<n<10K
quantem-data
Real electron microscopy datasets for quantem.widget and quantem.
Install
pip install quantem-data
Quick Start
from quantem.data import load
from quantem.widget import Show4DSTEM, Show2D
# 4D-STEM dataset (9 MB, cached locally)
Show4DSTEM(load("srtio3_lamella"), scan_shape=(32, 32))
# Bright-field image
Show2D(load("srtio3_bf"))
Folder Structure
| Folder | Data type | quantem.widget |
|---|---|---|
4dstem/ |
4D-STEM diffraction | Show4DSTEM, Show4D |
hrtem/ |
High-resolution TEM | Show2D, Mark2D |
eels/ |
Electron energy loss | Show1D |
tomo/ |
Tomography | Show3DVolume |
diffraction/ |
Diffraction patterns | Show2D |
image/ |
Virtual/derived images | Show2D, Mark2D |
complex/ |
Ptychography | ShowComplex2D |
raw/ |
Original instrument files | — |
Metadata
Every .npy file has a paired .json sidecar with structured metadata (schema, shape, attribution, calibration).
Contributing
Upload via Python API or CLI. See quantem.data docs.