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.
Please cite doi: 10.5281/zenodo.13862586 if PhasorPy contributes to research that leads to a publication.
PhasorPy is a community-maintained project. Contributions 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) program at Chan Zuckerberg Initiative.