MPI-Dortmund/tomotwin-cryoet
cryo-ET particle picking by representation and metric learning
This tool helps structural biologists identify specific particles or molecules within their cryo-electron tomography (cryo-ET) datasets. You input 3D tomograms, and it helps you accurately locate and 'pick' the particles of interest. This makes it easier to analyze their structure and distribution.
Available on PyPI.
Use this if you are a structural biologist or microscopist working with cryo-ET data and need to precisely identify and extract specific molecular particles for further analysis.
Not ideal if your primary goal is general image segmentation in non-cryo-ET microscopy or if you are not working with 3D tomogram data.
Stars
42
Forks
10
Language
Python
License
MPL-2.0
Category
Last pushed
Nov 24, 2025
Commits (30d)
0
Dependencies
12
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