PSSR2 is a user-friendly PyTorch-based workflow for super-resolution tasks using microscopy images. This is the official reimplementation and extention of the methods described in the original paper: Deep learning-based point-scanning super-resolution imaging. PSSR2 contains various improvements from its predecessor, which are elaborated in our preprint: PSSR2: a user-friendly Python package for democratizing deep learning-based point-scanning super-resolution microscopy.
The PSSR2 User Guide and full API Reference is available in the PSSR2 Documentation.
If you have never used PSSR2 before, Getting Started outlines installation and basic usage. Full reference and explanations of all PSSR2 tools is available in API Reference.
This package is under continuous development. All code can be found at https://github.com/ucsdmanorlab/PSSR2. If you experience any bugs, unexpected behaviors, or have any suggestions, make sure to open a ticket.
Sample data and pretrained models can currently be found here.