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SPIE-CNN-SR

This folder provides the code used for the deep-learning based super-resolution on fluorescence microscopy images using the small datasets

SPIE paper: Diffraction limited to super-resolution using deep-learning:

Sumamry:

Diffraction limited image: BPAE sample

Estimated super-resolution image: From Neural network:

Ture target image: (super-resolution image using SRRF method)

Dataset:

#Images: The training and test dataset of BPAE sample images can be downloaded from here https://curate.nd.edu/show/5h73pv66g4s

#Citation for dataset: Please cite the Super-resolution (SR) Fluorescence Microscopy dataset using the following format: Mannam, Varun. 2021. “Super-Resolution (SR) Fluorescence Microscopy Dataset.” Notre Dame. https://curate.nd.edu/show/5h73pv66g4s.

Copyright

© 2019 Varun Mannam, University of Notre Dame

License

Licensed under the GPL

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This folder provides the code used for the deep-learning based super-resolution on fluorescence microscopy images using the small datasets

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