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

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).