# Spectrum-Image: Interactive Data Explorer for Spatial Spectroscopic Dataset
Spectrum-Image is Python packag for spectroscopic data, built with Jupter lab interactivity in mind, with minimal dependencies
Most of code is written with EELS (Electron Energy Loss Spectroscopy) in mind, but is relevant for any highdimensional spectroscopic dataset.
# Relevant techniques:
EELS (Electron Energy Loss Spectroscopy)
RIXS (Resonant Inelastic Xray Scattering)
Raman Spatial Mapping
Check out the notebook example (`example_eels.ipynb`) to get started.
## Installation
`pip install spectrum-image`
## Dependencies
`matplotlib`
`jupyterlab`
`ipympl`
`scipy`
`tqdm`
`numpy`
`lmfit`
`hyperspy`
`tifffile`
## Acknowledgements
Some functionalities (background subtraction, local background averaging) was copied from eels.py of https://github.com/paradimdata/Cornell_EM_SummerSchool_2021/tree/main/Tutorial%204%20-%20Spectroscopy
Raw data
{
"_id": null,
"home_page": null,
"name": "spectrum-image",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": "Electron Microscopy, EELS, TEM, STEM, Electron Energy Loss Spectroscopy",
"author": null,
"author_email": "Suk Hyun Sung <sukhsung@umich.edu>, Michale Colletta <mrc297@cornell.edu>, Alex Stangle <astangel@umich.edu>",
"download_url": "https://files.pythonhosted.org/packages/d9/c8/912b7fbdf95bbee652f74ca9180b541f2529b91e23d4b873468d08bcd52e/spectrum_image-0.3.3.tar.gz",
"platform": null,
"description": "# Spectrum-Image: Interactive Data Explorer for Spatial Spectroscopic Dataset\nSpectrum-Image is Python packag for spectroscopic data, built with Jupter lab interactivity in mind, with minimal dependencies\nMost of code is written with EELS (Electron Energy Loss Spectroscopy) in mind, but is relevant for any highdimensional spectroscopic dataset.\n\n# Relevant techniques:\nEELS (Electron Energy Loss Spectroscopy)\nRIXS (Resonant Inelastic Xray Scattering)\nRaman Spatial Mapping\n\nCheck out the notebook example (`example_eels.ipynb`) to get started.\n\n## Installation\n`pip install spectrum-image`\n\n## Dependencies\n`matplotlib`\n`jupyterlab`\n`ipympl`\n`scipy`\n`tqdm`\n`numpy`\n`lmfit`\n`hyperspy`\n`tifffile`\n\n## Acknowledgements\nSome functionalities (background subtraction, local background averaging) was copied from eels.py of https://github.com/paradimdata/Cornell_EM_SummerSchool_2021/tree/main/Tutorial%204%20-%20Spectroscopy\n",
"bugtrack_url": null,
"license": null,
"summary": "Python Package for EELS (Electron Energy Loss Spectroscopy) Analysis",
"version": "0.3.3",
"project_urls": {
"Bug Tracker": "https://github.com/sukhsung/spectrum-image/issues",
"Homepage": "https://github.com/sukhsung/spectrum-image",
"Repository": "https://github.com/sukhsung/spectrum-image"
},
"split_keywords": [
"electron microscopy",
" eels",
" tem",
" stem",
" electron energy loss spectroscopy"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "d9c8912b7fbdf95bbee652f74ca9180b541f2529b91e23d4b873468d08bcd52e",
"md5": "849e07e7e97d346cf496d05a917330d1",
"sha256": "654b6371244f45e4df859053c5bdd9154c9071aa81264cb1d7728fa1436cfe5a"
},
"downloads": -1,
"filename": "spectrum_image-0.3.3.tar.gz",
"has_sig": false,
"md5_digest": "849e07e7e97d346cf496d05a917330d1",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.10",
"size": 30172,
"upload_time": "2024-05-18T00:56:42",
"upload_time_iso_8601": "2024-05-18T00:56:42.945778Z",
"url": "https://files.pythonhosted.org/packages/d9/c8/912b7fbdf95bbee652f74ca9180b541f2529b91e23d4b873468d08bcd52e/spectrum_image-0.3.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-18 00:56:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "sukhsung",
"github_project": "spectrum-image",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "spectrum-image"
}