FLIMPA: A Versatile Software for Fluorescence Lifetime Imaging Microscopy Phasor Analysis
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Abstract
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indicating that 10 µM Nocodazole is enough to completely destabilise the microtubules
I understand the logic, but how can you be sure that a plateau in the increase in fluorescence lifetime means that the microtubules have completely depolymerized?
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FLIMPA’s GitHub repository.
Could you please provide a link to the GitHub repository? Is it publicly available yet?
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Figure 6
This is a very cool visualization! The choice of the colormap is, however, not the most intuitive, especially given that the same color is used to represent different concentrations in different panels.
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individual identity masks
What is meant by "identity" masks? I understand these masks to be based on either the lifetime or the number of photons per pixel, what does identity mean in this context?
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This is the first application of FLIM for building a cell-based assay for measuring drug-induced microtubule destabilisation.
This seems like a great case study for showcasing your software! But if you are going to make this claim, could you explain how or why reference [35] is not the first? Given that you also say:
Changes in the fluorescence lifetime of SiR-tubulin following the addition of Nocodazole have been used to quantify the degree of microtubule depolymerisation [35].
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Recently, the open-source Python-based software, FLUTE [28], a Napari-Live-FLIM plugin [29], and Phasor identifier [30] have been published
While I don't think it has been published yet, there is also PhasorPy, which is an open-source, Python-based library for doing phasor analysis.
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