Metadata-Version: 2.4
Name: phasorpy
Version: 0.11
Summary: Analysis of luminescence lifetime and hyperspectral images using the phasor approach
Author: PhasorPy Contributors
License-Expression: MIT
Project-URL: Homepage, https://www.phasorpy.org
Project-URL: Documentation, https://www.phasorpy.org/docs/stable/
Project-URL: Download, https://pypi.org/project/phasorpy/#files
Project-URL: Source code, https://github.com/phasorpy/phasorpy
Project-URL: Issue tracker, https://github.com/phasorpy/phasorpy/issues
Project-URL: Release notes, https://www.phasorpy.org/docs/stable/release
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.13
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# <img src="https://www.phasorpy.org/_static/phasorpy_logo.svg" alt="&#x25CB;" width="48" height="48" align="left"/> PhasorPy

PhasorPy is an open-source Python library for the analysis of luminescence
lifetime and hyperspectral images using the phasor approach.

The phasor approach represents time-resolved and spectral signals as
phasor coordinates (normalized Fourier coefficients at harmonic frequencies)
for intuitive visualization and analysis.

PhasorPy enables reproducible phasor-based fluorescence lifetime imaging
(FLIM) and hyperspectral imaging (HSI) workflows in scientific Python.
It provides tools to read microscopy data in many file formats and to
calculate, calibrate, filter, visualize, and interconvert phasor coordinates,
lifetimes, and signals. Phasor coordinates can be exported to standard
formats and analyzed through cursor-based region-of-interest selection,
cluster detection, multi-component unmixing, FRET efficiency and concentration
estimation.

- [Homepage](https://www.phasorpy.org)
- [Documentation](https://www.phasorpy.org/docs/stable/)
- [Source code](https://github.com/phasorpy/phasorpy)
- [Install with pip](https://pypi.org/project/phasorpy/) or [conda](https://anaconda.org/conda-forge/phasorpy).
- [Data files](https://zenodo.org/communities/phasorpy/)
- [Issues and questions](https://github.com/phasorpy/phasorpy/issues)

Please cite [doi: 10.5281/zenodo.13862586](https://doi.org/10.5281/zenodo.13862586)
if PhasorPy contributes to research that leads to a publication.

PhasorPy is a community-maintained project.
[Contributions](https://www.phasorpy.org/docs/stable/contributing/)
in the form of bug reports, bug fixes, feature implementations, documentation,
datasets, and enhancement proposals are welcome.

This software project was supported in part by the
[Essential Open Source Software for Science (EOSS)](https://chanzuckerberg.com/eoss/)
program at
[Chan Zuckerberg Initiative](https://chanzuckerberg.com/).

[![CZI's Essential Open Source Software for Science](https://chanzuckerberg.github.io/open-science/badges/CZI-EOSS.svg)](https://czi.co/EOSS)
