{ "info": { "author": "Kyle Douglass, Hazen Babcock", "author_email": "hbabcock@mac.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: C", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "## MicroscPSF-Py ##\n\nThis is a Python implementation of the fast microscope PSF generation tool (using the Gibson-Lanni model).\nTechnical details can be found [here](http://www.ee.cuhk.edu.hk/~jzli/MicroscPSF/).\n\n[![Linux Build Status](https://travis-ci.org/MicroscPSF/MicroscPSF-Py.svg?branch=master)](https://travis-ci.org/MicroscPSF/MicroscPSF-Py)\n\n### Install ###\n\n```\n$ git clone https://github.com/MicroscPSF/MicroscPSF-Py.git\n$ cd MicroscPSF-Py\n$ python setup.py install\n```\n\n### Usage ###\n\nPlease see the [examples.ipynb](https://github.com/MicroscPSF/MicroscPSF-Py/blob/master/examples.ipynb) Jupyter notebook.\n\n### Acknowledgements ###\n\n- Original algorithm Li, J., Xue, F., & Blu, T. (2017). Fast and accurate three-dimensional point spread function computation for fluorescence microscopy. JOSA A, 34(6), 1029-1034. [link](https://doi.org/10.1364/JOSAA.34.001029).\n\n- Python implementation by Kyle Douglass and Hazen Babcock.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/MicroscPSF/MicroscPSF-Py", "keywords": "PSF,microscopy", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "MicroscPSF-Py", "package_url": "https://pypi.org/project/MicroscPSF-Py/", "platform": "", "project_url": "https://pypi.org/project/MicroscPSF-Py/", "project_urls": { "Homepage": "https://github.com/MicroscPSF/MicroscPSF-Py" }, "release_url": "https://pypi.org/project/MicroscPSF-Py/0.1/", "requires_dist": null, "requires_python": "", "summary": "Gibson-Lanni PSF calculation code.", "version": "0.1" }, "last_serial": 3837783, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "5216205289e44811bca46336652a8083", "sha256": "d98b83638df2f0478be31aecd1fb012eb162dad8d7440d7fe0e8229f47028ae6" }, "downloads": -1, "filename": "MicroscPSF_Py-0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "5216205289e44811bca46336652a8083", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 6716, "upload_time": "2018-05-05T23:49:34", "url": "https://files.pythonhosted.org/packages/24/ed/5572bc9198df4c58187749baef2841bb727b7598104de7fcc1bcae42dbba/MicroscPSF_Py-0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "fd59f2e8ca838e91ab75b9e8fe4fa21e", "sha256": "411de6d75ef74d895ca41e39b79c7cd9668508ca3bea61f2ac4111fe08ea72f7" }, "downloads": -1, "filename": "MicroscPSF-Py-0.1.tar.gz", "has_sig": false, "md5_digest": "fd59f2e8ca838e91ab75b9e8fe4fa21e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5475, "upload_time": "2018-05-05T23:49:35", "url": "https://files.pythonhosted.org/packages/44/3c/ef9c1210b60d1e104040a0fb5a257ba4693eba016f3bc73e1e77b8e1efce/MicroscPSF-Py-0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5216205289e44811bca46336652a8083", "sha256": "d98b83638df2f0478be31aecd1fb012eb162dad8d7440d7fe0e8229f47028ae6" }, "downloads": -1, "filename": "MicroscPSF_Py-0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "5216205289e44811bca46336652a8083", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 6716, "upload_time": "2018-05-05T23:49:34", "url": "https://files.pythonhosted.org/packages/24/ed/5572bc9198df4c58187749baef2841bb727b7598104de7fcc1bcae42dbba/MicroscPSF_Py-0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "fd59f2e8ca838e91ab75b9e8fe4fa21e", "sha256": "411de6d75ef74d895ca41e39b79c7cd9668508ca3bea61f2ac4111fe08ea72f7" }, "downloads": -1, "filename": "MicroscPSF-Py-0.1.tar.gz", "has_sig": false, "md5_digest": "fd59f2e8ca838e91ab75b9e8fe4fa21e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5475, "upload_time": "2018-05-05T23:49:35", "url": "https://files.pythonhosted.org/packages/44/3c/ef9c1210b60d1e104040a0fb5a257ba4693eba016f3bc73e1e77b8e1efce/MicroscPSF-Py-0.1.tar.gz" } ] }