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Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN. (arXiv:2209.11729v1 [eess.IV])
Sept. 26, 2022, 1:14 a.m. | Tomas Kerepecky, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov
cs.CV updates on arXiv.org arxiv.org
Three-dimensional fluorescence microscopy often suffers from anisotropy,
where the resolution along the axial direction is lower than that within the
lateral imaging plane. We address this issue by presenting Dual-Cycle, a new
framework for joint deconvolution and fusion of dual-view fluorescence images.
Inspired by the recent Neuroclear method, Dual-Cycle is designed as a
cycle-consistent generative network trained in a self-supervised fashion by
combining a dual-view generator and prior-guided degradation model. We validate
Dual-Cycle on both synthetic and real data showing …
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