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Limited angle tomography for transmission X-ray microscopy using deep learning
In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be restricted to a limited angular range to avoid collision with other system parts or high attenuation at certain tilting angles. Image reconstruction from such limited angle data suffers from artifacts because o...
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| I publikationen: | J Synchrotron Radiat |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
International Union of Crystallography
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7064107/ https://ncbi.nlm.nih.gov/pubmed/32153288 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S160057752000017X |
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