# tbepler/topaz

<https://repo.masters-masters.com/en/repos/tbepler/topaz>

[Home](https://repo.masters-masters.com/en) › [tbepler](https://repo.masters-masters.com/en/owners/tbepler) › [topaz](https://repo.masters-masters.com/en/repos/tbepler/topaz)

tbepler/topaz has 223 stars on GitHub. Its RepoMasters card: Prototype tier. Pipeline for particle picking in cryo-electron microscopy images using…

| Field | Value |
| --- | --- |
| Owner | [tbepler](https://repo.masters-masters.com/en/owners/tbepler) |
| Stars | 223 |
| Forks | 75 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | cryoem, particle-picking, machine-learning, cnn, positive-unlabeled, object-detection, pytorch, topaz, topaz-denoise, denoising |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tbepler/topaz](https://github.com/tbepler/topaz) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.