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Figure 1
The workflow of the deep-learning-based image jitter correction method for synchrotron nano-resolution tomographic. Step A is the reconstruction of the raw projective images. Step B is reprojection of the sample from different perspectives. Step C acquires image jitter by the residual neural network. Step D corrects the projective images. Step E is to reconstruct the 3D image after correction.

Journal logoJOURNAL OF
SYNCHROTRON
RADIATION
ISSN: 1600-5775
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