Multispectral time-resolved fluorescence microscopy based on compressive acquisitions

Multidimensional fluorescence microscopy techniques produce dataset rich of information (space, emission spectrum and lifetime) to investigate photophysical processes in biological samples. To acquire a 4D dataset, one promising microscope design is based on the single-pixel camera scheme and on compressive sensing acquisitions, thanks to which the measurement time can be reduced. Within this framework, a computational step is required to move from the acquisition space to the pixel space and, subsequently, the analysis can be carried out exploiting the high dimensionality. In this work we present an experimental system and a fast-fit method that can produce a map of fluorophore concentrations in parallel to the measurement routine.