Fig. 1 | Self-learning strategy to improve the 3D resolution isotropy of volumetric microscopy. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Fig. 1 | Self-learning strategy to improve the 3D resolution isotropy of volumetric microscopy.

Caption

Due to the inherent anisotropy of the optical PSF, the HR lateral images naturally serve as the rational gold standard for enhancing the axial resolution of the raw data. The unpaired lateral and axial images directly retrieved from the same anisotropic volume are used for unsupervised self-learning. And then isotropic restoration is realized by loading the trained Self-Net to enhance all axial slices in the original image stack.

Credit

by Kefu Ning, Bolin Lu, Xiaojun Wang, Xiaoyu Zhang, Shuo Nie, Tao Jiang, Anan Li, Guoqing Fan, Xiaofeng Wang, Qingming Luo, Hui Gong, Jing Yuan

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CC BY

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