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Autofluorescence FLIM provides unique insight into metabolic activities in living cells with minimal perturbation of the native cell state. However, quantitative analysis of FLIM images can introduce variability in cell parameters that obscure the molecular changes in the cell. This talk will discuss how phasor and fit analysis of autofluorescence FLIM images can provide complementary information that maintains quality, tracks reproducibility, and improves confidence in quantitative FLIM parameters.
Melissa C. Skala
"Tips for reproducible FLIM analysis with phasor and fit approaches", Proc. SPIE PC12833, Design and Quality for Biomedical Technologies XVII, PC128330I (13 March 2024); https://doi.org/10.1117/12.3009907
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Melissa C. Skala, "Tips for reproducible FLIM analysis with phasor and fit approaches," Proc. SPIE PC12833, Design and Quality for Biomedical Technologies XVII, PC128330I (13 March 2024); https://doi.org/10.1117/12.3009907