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}
+}
+```