PhasorPy#

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

The phasor approach transforms time-resolved and spectral signals into phasor coordinates derived from normalized Fourier coefficients for intuitive visualization and analysis.

PhasorPy enables reproducible phasor-based fluorescence lifetime imaging (FLIM) and hyperspectral imaging (HSI) workflows in the scientific Python ecosystem, providing 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, and FRET efficiency estimation.

Introduction to PhasorPy

Introduction to PhasorPy

Introduction to PhasorPy
Geometrical interpretation of lifetimes

Geometrical interpretation of lifetimes

Geometrical interpretation of lifetimes
File input/output

File input/output

File input/output
Förster resonance energy transfer

Förster resonance energy transfer

Förster resonance energy transfer
Interactive apps

Interactive apps

Interactive apps
Multi-component fit

Multi-component fit

Multi-component fit
NADH absolute concentration

NADH absolute concentration

NADH absolute concentration
All tutorials...

All tutorials...

All tutorials...

Documentation#

The PhasorPy documentation thoroughly documents all aspects of the library, including:

Other versions: latest development, all

Resources#

News#

Events#

The PhasorPy project is presented at the following events:

Cite#

Please cite doi: 10.5281/zenodo.13862586 if PhasorPy contributes to research that leads to a publication.

Contact#

PhasorPy is a community-maintained project.

Contributions in the form of bug reports, bug fixes, feature implementations, documentation, datasets, and enhancement proposals are welcome.

Report issues and ask questions about PhasorPy on the GitHub issue tracker.

Alternatively, contact the PhasorPy developers directly.