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FLIM Data and analysis of the hands-on sessions "CF44-1 Label-free metabolic FLIM with 2 photon excitation"

<p>This FLIM dataset on HeLa cells and human astrocytes was acquired during the hands-on sessions&nbsp;<em>CF44-1 Label-free metabolic FLIM with 2 photon excitation</em> during the <a href="https://www.bioimaging.bmc.med.uni-muenchen.de/gerbiflim2024/flimprogram/index.html">German BioImaging </a><a href="https://www.bioimaging.bmc.med.uni-muenchen.de/gerbiflim2024/flimprogram/index.html">workshop on FLIM in Munich</a>.</p> <p>The FLIM data are analyzed with the open source software FLUTE&nbsp;available on GitHub: <a href="https://github.com/LaboratoryOpticsBiosciences/FLUTE"><strong><em>https://github.com/LaboratoryOpticsBiosciences/FLUTE</em></strong></a></p> <p>and published on Biological imaging Journal:&nbsp;<a href="https://www.cambridge.org/core/journals/biological-imaging/article/flute-a-python-gui-for-interactive-phasor-analysis-of-flim-data/862F290EC14187741BDA6B58E9868FA2"><strong><em>Gottlieb, D., Asadipour, B., Kostina, P., Ung, T., &amp; Stringari, C. (2023). FLUTE: A Python GUI for interactive phasor analysis of FLIM data. Biological Imaging, 1-22. doi:10.1017/S2633903X23000211</em></strong></a></p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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