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Scientific image exploration software for multidimensional datasets.

Project description


Copyright (c) UChicago Argonne, LLC. All rights reserved.

Scientific image exploration software for 2D, 3D, and 4D datasets. A continuation of the Image_Analysis repository.


The image-analysis-util repository focuses on providing tools for users to explore and analyze their datasets. In constrast to Image_Analysis, the ultimate goal of image-analysis-util is to provide a generalized set of analysis features.

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Getting Started



PyPI Installation

pip install image-analysis-util

Conda Installation

  1. Clone the repositiory.

    git clone
  2. Create an Anaconda virtual environment using environment.yml. The environment name can be altered in that file. By default, the virtual environment is named ia-util-venv.

    conda env create -f environment.yml
  3. Activate the virtual environment.

    conda activate ia-util-venv



  • Tutorial files for file creation/ImageTool
  • File Exportation - The ideal goal will be to have exporting options for xarray DataArray objects, .iau files, and matplotlib plots.
  • Performance improvements for slicing
  • Extensive testing
  • Pixel averaging (ROIs/Binning)


See LICENSE.txt for more information.


Henry Smith - Co-op Student Technical at Argonne National Laboratory


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