Published March 20, 2022
| Version v1.0.0
Software
Open
peterpark-git/neuroclear: Neuroclear: reference-free isotropic super-resolution for volumetric fluorescence microscopy
Authors/Creators
Description
Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single image stack. The code includes Pytorch code for network training and prediction. This is code for a research publication titled "Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy".
Files
peterpark-git/neuroclear-v1.0.0.zip
Files
(9.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:1aaf877d86e6257899bb35dd1acdd6e3
|
9.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/peterpark-git/neuroclear/tree/v1.0.0 (URL)