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SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising

Time:2024-05-15 View count:

Code and dataset: https://github.com/cabooster/SRDTrans

SRDTrans can be used to remove noise from fluorescence images in a self-supervised manner. Benefiting from the new spatial redundancy orthogonal sampling, it has no dependence on high imaging speed and is complementary to our previously proposed DeepCAD. A lightweight spatiotemporal transformer architecture was developed to capture long-range dependencies and high-resolution features at a low computational cost. SRDTrans can overcome the inherent spectral bias of CNNs and restore high-frequency information without producing over-smoothed structures and distorted fluorescence traces.