PhasorPy (@phasorpy) header
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PhasorPy is an open-source Python library for the analysis of fluorescence lifetime and hyperspectral images using the Phasor approach. EOSS5 @cziscience funded

Montevideo-Irvine, Uruguay-US
Joined October 2024
We arrived safe and ready for a week full of Bioimaging #FLIM #Phasors @PhasorPy Thanks @ALM_i3S Paula Sampaio and María Acevedo for the very kind invitation, looking forward for an exciting week!
Replying to @phasorpy
@PhasorPy Uruguayan team @advanced_unit ready to takeoff! Final destination #Porto 🇵🇹 @ALM_i3S for “Course in optical microscopy imaging for bioscience” #FLIM #Phasors Here we go!!!
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Thanks to everyone who stop by the poster today at #BPS2025 Hopefully they all engage and help us to move forward with phasorpy for phasor analysis of HSI and FLIM. More information can be found at out website phasorpy.org
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Thanks @GloBIAS_ for the invitation of @schutyb to present #PhasorPy at the #GloBIAS2024 Excellent meeting and great atmosphere!
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Right now #BrunoPannunzio is introducing our library #PhasorPy at #I2K join as at i2kconference.org/
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This week, the #PhasorPy team is full of training/dissemination activities! 🐍 MalacridaLab #CGholke @schutyb will participate at the #LFDworkshop2024 Lecture + demo on PhasorPy library. 🐍 We end the week by @MalacridaLab webinar at @EuroBioImaging pub webinar. Registration 👇
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The Acknowledgments list individuals and organizations that contributed to the development of PhasorPy.
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Everyone participating in the PhasorPy community should honor the Code of Conduct.
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The Contributing guide explains how to get support, report bugs, submit bug fixes, or improve documentation.
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The Release notes list recent bug fixes, feature enhancements, documentation, and maintenance changes.
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The API reference contains detailed information about all functions (more than 70) and classes of the library.
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