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artificial intelligence velocimetry for micro-aneurysm-on-a-chip

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AIV MAOAC

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.

Citation

@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}
}

Directory

  • 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

Training AIV

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.

Others

The data and codes can be found here: https://drive.google.com/drive/folders/1E1RmxzaQGqO3gi5eVZ4Eil1WcRF5tXX6?usp=sharing.

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