Compressive time-resolved multispectral fluorescence microscopy with single-pixel camera

Abstract

Time-resolved multispectral fluorescence microscopy provides a 4D hypercube dataset with high specificity for cellular examination. However, this is generally obtained by significantly increasing the measurement time, which is quite limiting for in vivo measurement or with photosensitive sample. It is possible to reduce the measurement effort with a novel microscopy framework exploiting compressive sensing based on single-pixel camera. In this work, we present a compressive sensing system and validate it with a cellular sample. Data fusion with a high-resolution camera image allows us to tackle the well-known problem of low-resolution in single-pixel imaging.