Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Home Page: https://www.nature.com/articles/s41592-024-02244-3
License: GNU General Public License v3.0
In the description at the end of the fourth page of the paper's PDF,Thesis Description:
The proposed UniFMIR method could offer near-isotropic imaging by enhancing the axial resolution,
issues:
When I execute mainiso.py, the example data Isotropic/Liver.tif
inputs the size (301, 752, 752), the output is still (301, 752, 752)
Is there anything else that needs to be done to this output file?
@ryanhe312 @cxm12
I found it. Sorry to interrupt.
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