In order to develop fluorescent microscope that can simultaneously take into account super-resolution, fast imaging and field of view, and promote its application in imaging of living cells or micro-dynamic processes, the compressed sensing was applied to super-resolution fluorescence microscopy. The algorithm of gradient projection for sparse reconstruction was used to reconstruct single fluorescence wide field image. Theoretical analysis, simulation and experimental verification were carried out. The results show that, this method can break through the optical diffraction limit. The imaging resolution is 180nm. Compared with the diffraction limit, it is 1.8 times higher. Compressed sensing can realize single-frame wide-field super-resolution fluorescence microscopy imaging. Compared with the existing methods, the imaging speed has been greatly improved.