Robust dark-field signal extraction for modulation-based X-ray tensor tomography
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916497469734912 |
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| author | Lautizi, Ginevra Di Trapani, Vittorio Studer, Alain Zdora, Marie-Christine De Marco, Fabio Kim, Jisoo Marone, Federica Stampanoni, Marco Thibault, Pierre |
| author_facet | Lautizi, Ginevra Di Trapani, Vittorio Studer, Alain Zdora, Marie-Christine De Marco, Fabio Kim, Jisoo Marone, Federica Stampanoni, Marco Thibault, Pierre |
| contents | We demonstrate a robust signal extraction method for X-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method can be adapted to various acquisition schemes and wavefront-marking optical elements, making it a versatile and robust tool for X-ray scattering tensor tomography. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18482 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust dark-field signal extraction for modulation-based X-ray tensor tomography Lautizi, Ginevra Di Trapani, Vittorio Studer, Alain Zdora, Marie-Christine De Marco, Fabio Kim, Jisoo Marone, Federica Stampanoni, Marco Thibault, Pierre Applied Physics Optics We demonstrate a robust signal extraction method for X-ray speckle-based tensor tomography. We validate the effectiveness of the method for several carbon fiber composites, highlighting its potential for industrial applications. The proposed method can be adapted to various acquisition schemes and wavefront-marking optical elements, making it a versatile and robust tool for X-ray scattering tensor tomography. |
| title | Robust dark-field signal extraction for modulation-based X-ray tensor tomography |
| topic | Applied Physics Optics |
| url | https://arxiv.org/abs/2411.18482 |