Histogram clustering for rapid time-domain fluorescence lifetime image analysis

We propose a histogram clustering (HC) method to accelerate fluorescence lifetime imaging (FLIM) analysis in pixel-wise and global fitting modes. The proposed method’s principle was demonstrated, the combinations of HC with traditional FLIM were explained. assessed methods both simulated experimental datasets. results reveal that not only increases speed (up 106 times) but also enhances estimation accuracy. Fast strategies suggested execution times around or below 30 μ s per histograms on MATLAB R2016a, 64-bit Intel Celeron CPU (2950M @ 2GHz).