MLI-lab/ProPicker
Prompt-based segmentation and fine-tuning for data-efficient and flexible particle picking in cryo-ET tomograms
This helps cryo-electron tomography researchers accurately identify and select specific particles within 3D tomograms. You input your cryo-ET tomogram and interactively provide prompts to guide the picking process, receiving precise particle locations and boundaries as output. This tool is ideal for structural biologists and biophysicists analyzing subcellular structures or macromolecules.
Use this if you need a flexible and data-efficient way to precisely pick particles from cryo-ET tomograms, especially for diverse particle types or challenging imaging conditions.
Not ideal if you need a fully automated, hands-off particle picking solution without any interactive prompting or fine-tuning steps.
Stars
11
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1
Language
Jupyter Notebook
License
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Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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