diff --git a/README.md b/README.md index 0e370a1..24e6467 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,14 @@ # 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) | |----------|--------| ||| ## 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 @@ -69,10 +69,28 @@ Output images are saved in "output_test_default" folder by default. ``` 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} +} +```