tbepler / topaz
Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.
Why this job: works in the areas we cover, but does not say which job it does
What it does
A pipeline for particle detection in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Topaz also includes methods for micrograph and tomogram denoising using deep denoising models.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 56 days ago
- Stars
- 223
- On GitHub
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- v0.3.20
- Released 6 months ago
- Built with
- Jupyter Notebook
- 96% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 84% closed
- 24 still open
- Pull requests
- 28 merged
- 3 waiting
- Releases
- 11
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Jupyter Notebook 96%
- HTML 2%
- Python 2%
- Singularity <1%
Topics
- cryoem
- particle-picking
- machine-learning
- cnn
- positive-unlabeled
- object-detection
- pytorch
- topaz
- topaz-denoise
- denoising
- cryo-em
- topaz-em
Project record
- JobOther AI tools
- StatusListed
- Commits562
- Forks75
- Watching9
- Stars in 28 days+2
- CreatedNov 6, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026