End-to-end differentiable blind tip reconstruction on Colab implemented by PyTorch
Easy to use notebook for using the end-to-end differentiable blind tip reconstruction.
Requires PyTorch and tqdm.
If you need the module, install it directly from GitHub:
pip install git+https://github.com/matsunagalab/ColabBTR
Example pseudo-AFM file is given in data/. Please try it if you do not have any AFM data for analysis.
Y. Matsunaga, S. Fuchigami, T. Ogane, and S. Takada.
End-to-end differentiable blind tip reconstruction for noisy atomic force microscopy images.
Sci. Rep. 13, 129 (2023).
https://doi.org/10.1038/s41598-022-27057-2
If you have any questions or troubles, feel free to create GitHub issues, or send email to us.
Yasuhiro Matsunaga