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A suite of Python libraries for high performance scientific computing of microscopy data.

Project Description

See <> for more info.

0. Description
A python package for image processing and scientific analysis of imaging modalities such as multi-frequency scanning probe microscopy,
scanning tunneling spectroscopy, x-ray diffraction microscopy, and transmission electron microscopy.
Classes implemented here are ported to a high performance computing platform at Oak Ridge National Laboratory (ORNL).

1. Package Structure
The package structure is simple, with 4 main modules:
1. `io`: Input/Output from custom & proprietary microscope formats to HDF5.
2. `processing`: Multivariate Statistics, Machine Learning, and Filtering.
3. `analysis`: Model-dependent analysis of image information.
4. `viz`: Visualization and interactive slicing of high-dimensional data by lightweight Qt viewers.

Once a user converts their microscope's data format into an HDF5 format, by simply extending some of the classes in `io`, the user gains access to the rest of the utilities present in `pycroscopy.*`.
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Release History

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