Using convolutional neural network denoising to reduce ambiguity in X-ray coherent diffraction imaging

Chu, K.-C.; Yeh, C.-H.; Lin, J.-M.; Chen, C.-Y.; Cheng, C.-Y.; Yeh, Y.-Q.; Huang, Y.-S.; Tsai, Y.-W.

doi:10.1107/S1600577524006519

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Figure 3
(a)–(d) Reconstructed images within the top-10% groups from the two datasets with different treatments for FSC calculations. (a) Average image of all reconstructed images. (b) Single reconstructed image from HIO. (c) Single denoised images of (b). (d) First eigen-solution by SVD analysis of all reconstructed images. The corresponding FSCs are shown in (e) and (f). For comparison, the FSC of the average of the best-20 reconstructions is shown in (e).

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 31| Part 5| September 2024| Pages 1340-1345

https://doi.org/10.1107/S1600577524006519

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