A deep learning-based noise correction method for light-field fluorescence microscopy

Light-field microscopy (LFM) enables rapid volumetric imaging through single-frame acquisition and fast 3D reconstruction algorithms. The high speed and low phototoxicity of LFM make it highly suitable for real-time 3D fluorescence imaging, such as studies of neural activity monitoring and blood flow analysis. However, in vivo fluorescence imaging scenarios, the light intensity needs to be reduced…