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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.
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Melissa C. Skala (2024) studied this question.
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