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phasorpy/phasorpy: v0.12

Authors: Christoph Gohlke; Bruno Pannunzio; Bruno Schuty; Mattia Donato; Rodrigo Blanco;

phasorpy/phasorpy: v0.12

Abstract

PhasorPy is an open-source Python library for the analysis of luminescence lifetime and hyperspectral images using the phasor approach. This is the third beta release of the PhasorPy library. It contains new functions, an About page, and other documentation improvements. The new io.signal_from_brighteyes_mcs, io.signal_from_tdflim, and io.lifetime_from_tdflim functions read TCSPC or lifetime data from Brighteyes MCS and ISS TDFLIM files using the brighteyes-mcs-reader and lfdfiles libraries. The new experimental.signal_from_dho function calculates emission spectra using the Displaced Harmonic Oscillator model. The new spectral application (python -m phasorpy spectral) and plot.SpectralPlots class interactively plot emission spectra and corresponding spectral phasor coordinates for a set of spectral components and their mixture. Conda-forge packages for osx-arm64 are now available. This release supports Python 3.12 through 3.14. What's Changed Bump version by @cgohlke in https://github.com/phasorpy/phasorpy/pull/351 Fix mislabeled fractional intensities in lifetime geometry tutorial by @cgohlke in https://github.com/phasorpy/phasorpy/pull/352 Bump tooling and update configs by @cgohlke in https://github.com/phasorpy/phasorpy/pull/353 Mention Spectral Phasors Analysis software by @cgohlke in https://github.com/phasorpy/phasorpy/pull/354 Add signal_from_tdflim and lifetime_from_tdflim functions by @cgohlke in https://github.com/phasorpy/phasorpy/pull/355 Mention FLIMKit software by @cgohlke in https://github.com/phasorpy/phasorpy/pull/356 Add spectral application, SpectralPlots class, and signal_from_dho function by @cgohlke in https://github.com/phasorpy/phasorpy/pull/358 Enable type checking for tests by @cgohlke in https://github.com/phasorpy/phasorpy/pull/359 Mention PyFLI library by @cgohlke in https://github.com/phasorpy/phasorpy/pull/361 Add signal_from_brighteyes_mcs function by @mattia-donato in https://github.com/phasorpy/phasorpy/pull/340 Improve signal_from_brighteyes_mcs docs and tests by @cgohlke in https://github.com/phasorpy/phasorpy/pull/363 Add About page and AI contribution policy by @cgohlke in https://github.com/phasorpy/phasorpy/pull/364 Release v0.12 by @cgohlke in https://github.com/phasorpy/phasorpy/pull/365 New Contributors @mattia-donato made their first contribution in https://github.com/phasorpy/phasorpy/pull/340 Full Changelog: https://github.com/phasorpy/phasorpy/compare/v0.11...v0.12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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