Skip to content

evenhe/DRE_SIM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

39 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DRE-SIM

we raised a postprocessing method to further improve the lateral resolution of SIM with the help of an untrained neural network. Taking the diffraction limit and SIM reconstruction into consideration, the method can further extend spatial frequency components of SIM images by exploring the implicit prior with the network.

Install

list of libraries:

  • python=3.7
  • jupyter
  • nb_conda
  • numpy
  • pyyaml
  • mkl
  • setuptools
  • cmake
  • cffi
  • matplotlib
  • scikit-image
  • pytorch=1.8.0
  • torchvision=0.9.0
  • torchaudio=0.8.0
  • cudatoolkit=10.2
  • pillow=6.2.1
  • opencv-python

You can create an conda env with all dependencies via environment file

conda env create -f DRE_env.yml

Test image

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published