feilab-hust/AIR-net
AIR-net is a self-supervised deep learning-based light field reconstruction algorithm with adaptive aberration correction, specifically designed for in vivo imaging applications in light field microscopy.
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AIR-net is a self-supervised deep learning-based light field reconstruction algorithm with adaptive aberration correction, specifically designed for in vivo imaging applications in light field microscopy.