Metadata-Version: 2.1
Name: pssr
Version: 1.2.0
Summary: Point-Scanning Super-Resolution
Home-page: https://github.com/ucsdmanorlab/PSSR
License: MIT
Author: Hayden Stites
Requires-Python: >=3.9,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Documentation :: Sphinx
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Provides-Extra: models
Requires-Dist: czifile (>=2019.7.2,<2020.0.0)
Requires-Dist: numpy (>=1.26.4,<2.0.0)
Requires-Dist: pillow (>=10.2.0,<11.0.0)
Requires-Dist: psutil (>=5.9.8,<6.0.0)
Requires-Dist: pytorch-msssim (>=1.0.0,<2.0.0)
Requires-Dist: scikit-image (>=0.18.0)
Requires-Dist: scikit-optimize (>=0.9.0,<0.10.0)
Requires-Dist: tifffile (>=2024.4.24,<2025.0.0)
Requires-Dist: timm (>=0.9.12,<0.10.0) ; extra == "models"
Requires-Dist: torch (>=2.0.0,<3.0.0)
Requires-Dist: tqdm (>=4.66.2,<5.0.0)
Project-URL: Documentation, https://ucsdmanorlab.github.io/PSSR/
Project-URL: Repository, https://github.com/ucsdmanorlab/PSSR
Description-Content-Type: text/markdown

# Point-Scanning Super-Resolution (**PSSR**)

**PSSR** is a standardized [PyTorch](https://pytorch.org)-based workflow for super-resolution tasks using microscopy images.
This is the official reimplementation of the methods described in the original paper: [Deep learning-based point-scanning super-resolution imaging](https://www.nature.com/articles/s41592-021-01080-z),
containing various improvements and new features.

The **PSSR** User Guide and full API Reference is available in the [PSSR Documentation](https://ucsdmanorlab.github.io/PSSR).

If you have never used **PSSR** before, [Getting Started](https://ucsdmanorlab.github.io/PSSR/guide/start.html) outlines installation and basic usage.
Full reference and explanations of all **PSSR** tools is available in [API Reference](https://ucsdmanorlab.github.io/PSSR/reference/api.html).

The package is still in development. All code can be found at [https://github.com/ucsdmanorlab/PSSR](https://github.com/ucsdmanorlab/PSSR).
If you experience any bugs, unexpected behaviors, or have any suggestions, make sure to [open a ticket](https://github.com/ucsdmanorlab/PSSR/issues).

