{"name":"pssr","display_name":"PSSR2","visibility":"public","icon":"","categories":[],"schema_version":"0.2.1","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"pssr.napari.train","title":"Open Train Widget","python_name":"pssr.napari:TrainWidget","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"pssr.napari.predict","title":"Open Predict Widget","python_name":"pssr.napari:PredictWidget","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"pssr.napari.train","display_name":"Train Model","autogenerate":false},{"command":"pssr.napari.predict","display_name":"Predict Images","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.3","name":"pssr","version":"2.4.0","dynamic":null,"platform":null,"supported_platform":null,"summary":"Point-Scanning Super-Resolution 2","description":"# Point-Scanning Super-Resolution 2 (**PSSR2**)\n\n**PSSR2** is a user-friendly [PyTorch](https://pytorch.org)-based workflow for super-resolution tasks using microscopy images.\nThis is the official reimplementation and extention 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).\n**PSSR2** contains various improvements from its predecessor, which are elaborated in the following manuscript:\n[PSSR2: a user-friendly Python package for democratizing deep learning-based point-scanning super-resolution microscopy](https://bmcmethods.biomedcentral.com/articles/10.1186/s44330-024-00020-5).\nIf you utilize **PSSR2** in your publication, please consider [citing it](https://bmcmethods.biomedcentral.com/articles/10.1186/s44330-024-00020-5#citeas).\n\nThe functionality of **PSSR2** is accessible in three ways:\n\n- Directly through the [Python package](https://pypi.org/project/pssr)\n- Through the integrated [Command Line Interface](https://ucsdmanorlab.github.io/PSSR2/reference/CLI.html)\n- Through the integrated [Napari plugin](https://ucsdmanorlab.github.io/PSSR2/guide/napari.html)\n\nThe **PSSR2** User Guide and full API Reference is available in the [PSSR2 Documentation](https://ucsdmanorlab.github.io/PSSR2).\n\nIf you have never used **PSSR2** before, [Getting Started](https://ucsdmanorlab.github.io/PSSR2/guide/start.html) outlines installation and basic usage.\nFull reference and explanations of all **PSSR2** tools is available in [API Reference](https://ucsdmanorlab.github.io/PSSR2/reference/api.html).\n\nThis package is under continuous development. All code can be found at [https://github.com/ucsdmanorlab/PSSR2](https://github.com/ucsdmanorlab/PSSR2).\nIf you experience any bugs, unexpected behaviors, or have any suggestions, make sure to [open a ticket](https://github.com/ucsdmanorlab/PSSR2/issues).\n\n","description_content_type":"text/markdown","keywords":null,"home_page":null,"download_url":null,"author":"Hayden Stites","author_email":null,"maintainer":null,"maintainer_email":null,"license":"MIT","classifier":["Development Status :: 5 - Production/Stable","Environment :: GPU :: NVIDIA CUDA","Framework :: napari","Intended Audience :: Science/Research","License :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming Language :: Python :: 3","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Topic :: Documentation :: Sphinx","Topic :: Scientific/Engineering :: Artificial Intelligence","Topic :: Scientific/Engineering :: Image Processing"],"requires_dist":["czifile (>=2019.7.2,<2020.0.0)","magicgui (>=0.6.0,<=0.8.2)","napari (>=0.4.13,<0.5.0) ; extra == \"napari\"","numpy (>=1.22.4,<2.0.0)","pillow (>=9.1.0)","psutil (>=5.0.0)","pytorch-msssim (>=1.0.0,<2.0.0)","scikit-image (>=0.18.0)","scikit-optimize (>=0.9.0)","tifffile (>=2019.7.26)","timm (>=0.8.0)","torch (>=1.11.0)","tqdm (>=4.0.0,<5.0.0)"],"requires_python":">=3.9,<4.0","requires_external":null,"project_url":["Documentation, https://ucsdmanorlab.github.io/PSSR2","Repository, https://github.com/ucsdmanorlab/PSSR2"],"provides_extra":["napari"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}