Supported Applications
DeepDeWedge
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Description
a tool used for the implementation of a deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography
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Usage
To list all executables provided by DeepDeWedge, run:$ sbgrid-list deepdewedge -
Usage Notes
Minimum and Maximum cuda capability supported by version 20260602 is 7.0 - 12.0
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Installation
Use the following command to install this title with the CLI client:$ sbgrid-cli install deepdewedgeAvailable operating systems: Linux 64 -
Primary Citation*
S. Wiedemann and R. Heckel. 2024. A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography. Nature Communications. 15: 8255.
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*Full citation information available through
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Keywords
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Default Versions
Linux 64:  20260602 (7.0 GB)
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Other Versions
Linux 64:
20250128 (13.8 GB)
Developers
Simon Wiedemann, Reinhard Heckel