DeepETPicker A deep learning based open-source software with a friendly user interface to pick 3D particles rapidly and accurately from cryo-electron tomograms
Introduction
A deep learning based open-source software with a friendly user interface to pick 3D particles rapidly and accurately from cryo-electron tomograms. With the advantages of weak labels, lightweight architecture and GPU-accelerated pooling operations, the cost of annotations and the time of computational inference are significantly reduced while the accuracy is greatly improved by applying a Gaussian-type mask and using a customized architecture design.
Publications
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Credits
- Ge Yang ge.yang@ia.ac.cn Investigator
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, China
Community Ratings
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Summary
Accession | BT007344 |
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Tool Type | Toolkit |
Category | Other tools |
Platforms | Linux/Unix |
Technologies | Python3 |
User Interface | Desktop GUI |
Latest Release | 1.0.0 (March 23, 2023) |
Download Count | 330 |
Country/Region | China |
Submitted By | Ge Yang |
Fundings
XDB37040402