IsoNet-cryoET/IsoNet2
IsoNet at higher resolution
This software helps cryo-electron tomography researchers improve the clarity and detail of their 3D reconstructions. It takes raw or pre-processed tomograms as input and uses deep learning to correct for common imaging artifacts like missing data, noise, and microscope distortions. The output is a higher-resolution, clearer tomogram that reveals finer structural details.
Use this if you need to quickly and accurately enhance the quality of your cryo-electron tomograms for better visualization and analysis of biological structures.
Not ideal if you lack access to high-performance computing with an NVIDIA GPU, as the software is optimized for and requires significant graphical processing power.
Stars
26
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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