royerlab/cytoself
Self-supervised models for encoding protein localization patterns from microscopy images
This tool helps cell biologists and researchers analyze microscopy images to understand where proteins are located within cells. You provide images of fluorescently labeled proteins and their identity, and it produces an organized 'atlas' of protein locations, revealing highly specific features. The output helps identify functional insights based solely on these localization patterns.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract and categorize detailed protein subcellular localization features from microscopy images without extensive manual labeling.
Not ideal if your primary goal is general image analysis unrelated to protein localization or if you prefer a tool with a graphical user interface.
Stars
82
Forks
16
Language
Python
License
BSD-3-Clause
Category
Last pushed
Aug 05, 2025
Commits (30d)
0
Dependencies
11
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