Multispectral fluorescence lifetime microscopy based on computational imaging schemes

Multispectral fluorescence lifetime microscopy (FLIM) is a valuable tool for biomedical and environmental applications. A multidimensional acquisition scheme (space, time, spectrum) provides high information content and the drawback of long acquisition/processing times. Compressive Sensing (CS) combined with Single-Pixel Camera (SPC) acquisition scheme has been proposed as a strategy to reduce the number of measurements. We present a multispectral FLIM system based on SPC, CS and data fusion (DF) with a high-resolution camera to strongly reduce the acquisition time. We adopted a novel method for TCSPC to increase the count-rate. The system is characterized and validated on a cellular sample.