Metadata-Version: 2.1
Name: spectrum_image
Version: 0.2.5
Summary: Python Package for EELS (Electron Energy Loss Spectroscopy) Analysis
Author-email: Suk Hyun Sung <sukhsung@umich.edu>
Project-URL: Homepage, https://github.com/sukhsung/spectrum-image
Project-URL: Repository, https://github.com/sukhsung/spectrum-image
Project-URL: Bug Tracker, https://github.com/sukhsung/spectrum-image/issues
Keywords: Electron Microscopy,EELS,TEM,STEM,Electron Energy Loss Spectroscopy
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: jupyterlab
Requires-Dist: ipympl
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: lmfit

# 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
