Please find the data and codes here.
Here, we present artificial intelligence velocimetry (AIV) to quantify the velocity, pressure and stress fields of blood flow for micro-aneurysm-on-a-chip (MAOAC), by integrating the imaging data with underlying physics using physics-informed neural networks.
@article {Caie2100697118,
author = {Cai, Shengze and Li, He and Zheng, Fuyin and Kong, Fang and Dao, Ming and Karniadakis, George Em and Suresh, Subra},
title = {Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease},
volume = {118},
number = {13},
elocation-id = {e2100697118},
year = {2021},
doi = {10.1073/pnas.2100697118},
publisher = {National Academy of Sciences},
issn = {0027-8424},
URL = {https://www.pnas.org/content/118/13/e2100697118},
eprint = {https://www.pnas.org/content/118/13/e2100697118.full.pdf},
journal = {Proceedings of the National Academy of Sciences}
}
- ImageData/: the raw microfluidic images
- HFMdata2D/: data extracted from the images and used for AIV training
- HFMresults/: results after AIV training
- matlab_scripts/: Matlab scripts to visualize the AIV results
- AIV_training.exe: executable program that shows a demo of AIV training
In the command prompt (Windows OS), go to the directory and run
AIV_training.exe
The executable program will take a long time to complete the training, as this is run on CPUs. It will print the log and training loss, and create a .mat file in HFMresults
folder after training.
The data and codes can be found here: https://drive.google.com/drive/folders/1E1RmxzaQGqO3gi5eVZ4Eil1WcRF5tXX6?usp=sharing.