High resolution fluorescence lifetime maps from minimal photon counts

Fluorescence lifetime imaging microscopy (FLIM) can be used to probe concentration profiles of key marco-molecules within sub-cellular environments. However, current analyses for FLIM require a large number photons per pixel provide such quantitative picture life. In order acquire photons, we must either increase data acquisition time, which limits temporal resolution, or laser intensity, causes greater photo damage the sample, both. Here, propose analyze by leveraging tools from Bayesian paradigm.