Disclaimer:
This repository is based on the following paper: "Dblink: Dynamic localization microscopy in super spatiotemporal resolution via deep learning".
Please also cite the original paper when using or developing this notebook.
Files description:
- demo.py - contains training and testing schemes
- NN_model.py - contains the pytorch model of our network
- Trainers.py - contains the neural network trainer class
- Data_handlers.py - contains data simulators and dataloader classes
- Utils.py - contains helper functions for all files
- exp_params.py - contains the experimental parameters, e.g. pixel size, video crop position and size, etc.