Speaker
Description
Hyperspectral imaging (HSI) and fluorescence lifetime imaging microscopy (FLIM) have revolutionized bioimaging by introducing new dimensions of data analysis. HSI combines imaging and spectroscopy to capture detailed fluorescence spectra, allowing simultaneous measurement of many fluorophores in a single field-of-view. FLIM provides an extra temporal resolution by measuring photon arrival times, yielding fluorescence lifetimes that reflect changes in molecular conformation and environment.
These techniques bring new data insights but increase data volume and analysis complexity. Standalone proprietary software exists for such analysis, but they lack integration into a broader image analysis framework. Bringing phasor analysis into napari, an open-source image viewer library, fosters the integration of HSI and FLIM data analysis into bio-image analysis workflows.
We present napari-phasors, a plugin that simplifies the quantification and segmentation of cells and tissues at the single-pixel level based on their fluorescence spectrum or lifetime profiles. Built upon the PhasorPy library, which was inspired by SimFCS software, napari-phasors converges and enhances the best features of existing plugins, napari-hsi-phasor and napari-flim-phasor-plotter, promoting accessibility to higher dimensional data analysis in napari.
| Authors | Marcelo Leomil Zoccoler*, Bruno Schuty, Bruno Pannunzio, Leonel Malacrida |
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| Keywords | Spectral Analysis, Fluorescence Lifetime, napari Plugin, Phasor Analysis |
