Deep learning enables nanoscale X-ray 3D imaging with limited data

被引：0
作者：
Chonghang Zhao
Hanfei Yan
机构：
[1] Brookhaven National Laboratory,National Synchrotron Light Source II
来源：
Light: Science & Applications | / 12卷
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摘要：
Deep neural network can greatly improve tomography reconstruction with limited data. A recent effort of combining ptycho-tomography model with the 3D U-net demonstrated a significant reduction in both the number of projections and computation time, and showed its potential for integrated circuit imaging that requires high-resolution and fast measurement speed.
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