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Functions for analysis of high resolution electron microscopy and spectroscopy data.

Project description

TEMUL

Functions for image and signal processing, based on the packages Scikit-image, Hyperspy, Atomap, PyPrismatic, ASE, periodictable etc. Written by members of the TEMUL group from the University of Limerick, Ireland (though we welcome all help, hints and contributions!)

Documentation & Installation

pip install temul-toolkit

For full installation instructions and documentation, go to temul-toolkit.readthedocs.io.

Cite

To cite the TEMUL toolkit, use the following DOI:

DOI

Interactive Notebooks in the Browser

Jupyter Notebooks and MyBinder allow us to analyse data in the browser without needing any downloads using the below "launch binder" button.

Binder

If the button does not work, try this link instead. You also share this link with others for quick access.

  • To run through some code documentation tutorials, go to the "code_tutorials" folder after clicking the above button.

  • To analyse data published in the listed scientific papers, go to the "publication_examples" folder after clicking the above button.

Publication Details Folder Location in TEMUL
M. Hadjimichael et al, Metal-ferroelectric supercrystals with periodically curved metallic layers, Nature Materials 2021 publication_examples/PTO_supercrystal_hadjimichael
K. Moore et al Highly charged 180 degree head-to-head domain walls in lead titanate, Nature Communications Physics 2020 publication_examples/PTO_Junction_moore

Project details


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Files for temul-toolkit, version 0.1.3
Filename, size File type Python version Upload date Hashes
Filename, size temul_toolkit-0.1.3-py3-none-any.whl (13.0 MB) File type Wheel Python version py3 Upload date Hashes View
Filename, size temul-toolkit-0.1.3.tar.gz (182.5 kB) File type Source Python version None Upload date Hashes View

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