pycroscopy/pycroscopy
Scientific analysis of nanoscale materials imaging data
This tool helps materials scientists and researchers analyze complex imaging data from nanoscale microscopy. It takes raw or partially processed microscopy datasets, such as those from scanning probe or electron microscopes, and provides a structured way to clean, process, and extract meaningful insights. Researchers studying material properties at the atomic scale use this to understand their samples better.
274 stars. No commits in the last 6 months.
Use this if you need a flexible way to process, clean, and analyze large, multi-dimensional datasets from various types of nanoscale imaging experiments.
Not ideal if you are looking for a simple, push-button solution for a very specific type of microscopy data analysis that doesn't require custom workflows.
Stars
274
Forks
75
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 12, 2025
Commits (30d)
0
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