Giga-voxel multispectral time-resolved imaging with single-pixel detection and data fusion

We present a technique for multispectral fluorescence lifetime imaging with high spatial resolution by combining both single-pixel and data fusion imaging techniques. The system relies on the combined use of three different sensors: two SP cameras capturing multispectral and time-resolved information, and a conventional 2D array detector capturing high spatial resolution images The resultant giga-voxel 4D hypercube is acquired in a fast manner measuring only 0.03% of the dataset. The fusion procedure is done by solving a regularization problem which is efficiently solved via gradient descent. The system can be used to identify fluorophore species.