Highly multiplexed spectral FLIM via physics informed data analysis
Mohamadreza Fazel, Reza Hoseini, Ayush Saurabh, Lance W.Q. Xu, Lorenzo Scipioni, Giulia Tedeschi, Enrico Gratton, Michelle A. Digman, Steve Pressé
This paper introduces a Bayesian S-FLIM framework that learns spectra and lifetimes photon-by-photon, enabling efficient deconvolution of up to 9 fluorophore species with overlapping spectra.
bioRxiv · Aug 4, 2025 · PreprintBiophysics