Library for analysing atomic resolution images
Project description
Atomap
Webpage: https://atomap.org
Webpage (development version): https://gitlab.com/atomap/atomap/builds/artifacts/master/file/public_development/index.html?job=pages_development
Atomap is a Python library for analysing atomic resolution scanning transmission electron microscopy images. It relies on fitting 2-D Gaussian functions to every atomic column in an image, and automatically finding all the atomic planes with the largest spacings.
Installing
The easiest way is via PyPI:
pip3 install atomap
More install instructions: https://atomap.org/install.html
Using
import atomap.api as am
sublattice = am.dummy_data.get_simple_cubic_sublattice()
sublattice.construct_zone_axes()
sublattice.refine_atom_positions_using_center_of_mass()
sublattice.plot()
More information on how to use Atomap: https://atomap.org/start_atomap.html
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file atomap-0.3.1.tar.gz.
File metadata
- Download URL: atomap-0.3.1.tar.gz
- Upload date:
- Size: 834.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0346472dfd4f1e5d61e1557df99db5baa5995b094dd597a37f7a6b4b276eaac
|
|
| MD5 |
a4bb461d6603c25bb318b19cd4ea297a
|
|
| BLAKE2b-256 |
5ad5fe8a3c44083219c751de423bef7337bcfd9d0ce0598d6d5c0f066e938288
|
File details
Details for the file atomap-0.3.1-py3-none-any.whl.
File metadata
- Download URL: atomap-0.3.1-py3-none-any.whl
- Upload date:
- Size: 851.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8b7ef239b544572fc74afc75d064d12593e55b3442d0e4c58d1661c4b87992f1
|
|
| MD5 |
959bb786b1f23da8ff33a9d80ff3a0c2
|
|
| BLAKE2b-256 |
a0b79bae84802c2d8983e71a4ba2e9c0776ecc9cebaedd52ed65dcd59d9ee13d
|
