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# Second-harmonic Generation Collagen Image Synthesis from Hematoxylin and Eosin Image Using Image-to-image Translation Neural Network
Program for a complete H&E-SHG synthesizing workflow
Paper accepted at https://www.nature.com/commsbio/
Will soon be updated
Paper accepted at https://www.nature.com/articles/s42003-020-01151-5
Intensity-based registration algorithm repository: https://github.com/uw-loci/shg_he_registration

|Input H&E| Synthesized Collagen Image |
|Input H&E| Synthesized Collagen Image (SHG) |
|----------|--------|
|<img src="https://github.com/uw-loci/he_shg_synth_workflow/blob/master/thumbnails/he.jpg" width="320">|<img src="https://github.com/uw-loci/he_shg_synth_workflow/blob/master/thumbnails/shg.jpg" width="320">|

## Required packages
Install required packages in a virtual environment, commands for anaconda/miniconda(https://www.anaconda.com/distribution/) are listed
Install required packages in a virtual environment, commands for anaconda/miniconda (https://www.anaconda.com/distribution/) are listed
* python==3.6.x
```
conda create --name [NAME_ENV] python=3.6
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```
Test customized images:

1. Create a folder named "input_test_[NAME]" containing input images.
1. Create a folder named "input_test_[NAME]" containing input images (images from a 40x Aperio CS2 scanner are recommended).
2. Execute main.py with option "--input-folder=[NAME]".
```
python main.py --input-folder=[NAME]
```
3. Output images are saved in "output_test_[NAME]" folder.

## Citations
```
@article{keikhosravi_non-disruptive_2020,
title = {Non-disruptive collagen characterization in clinical histopathology using cross-modality image synthesis},
volume = {3},
copyright = {2020 The Author(s)},
issn = {2399-3642},
url = {https://www.nature.com/articles/s42003-020-01151-5},
doi = {10.1038/s42003-020-01151-5},
number = {1},
journal = {Communications Biology},
author = {Keikhosravi, Adib and Li, Bin and Liu, Yuming and Conklin, Matthew W. and Loeffler, Agnes G. and Eliceiri, Kevin W.},
month = jul,
year = {2020},
note = {Publisher: Nature Publishing Group},
pages = {1--12}
}
```

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