#[BDN] Enhanced stimulated Raman and fluorescence imaging by single-frame trained BDN

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Abstract: pass

Train

• Dataset:
  To prepare the dataset in more detail, please take a look at datasets/README.md.

• Train:
  If the above path and data are all correctly set, just simply run the following:

  python train.py
  

  python denoise_out.py
  

  python BDCNet_model_create.py
  

  python train_control.py
  

  python denoise_control_out.py
  

Citation

If you use BDNet, please consider citing:

X. Tang, Y. Zhang, X. Huang, H. Lee, and D. Zhang, "Enhanced stimulated Raman and fluorescence imaging by single-frame trained BDN," Opt. Express  32, 40593-40604 (2024).