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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.00552 |
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| _version_ | 1866914230187327488 |
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| author | Zeng, Hui Li, Ming-Fei Yu, Zhi-Yue Shi, Bing-Zhan Wu, Xiao-Jing Feng, Jie Wang, Jin-Guang Li, Yi-Fei Wu, Ling-An Shi, Jian-Hong Chen, Li-Ming |
| author_facet | Zeng, Hui Li, Ming-Fei Yu, Zhi-Yue Shi, Bing-Zhan Wu, Xiao-Jing Feng, Jie Wang, Jin-Guang Li, Yi-Fei Wu, Ling-An Shi, Jian-Hong Chen, Li-Ming |
| contents | X-ray imaging is widely employed in clinical medicine, industrial inspection, and various scientific research fields. Unfortunately, most currently used X-ray two-dimensional (2D) detectors suffer from a fundamental trade-off between the number of pixels and readout time, making them unsuitable for fast moving objects imaging, as well as the readout dead time causes frame losses. X-ray ghost imaging (XGI) offers an alternative approach to image an object using only a highly sensitive single-pixel detector. However, a critical limitation of existing XGI methods is the excessive total acquisition time required, rendering it impractical for real applications. In this paper, we propose a rapid spatial modulation scheme based on random binary patterns encoded onto a fast-spinning mask. Clear X-ray visualization of moving objects is demonstrated with imaging rates up to 200 frames per second with a resolution of 225 um. For the first time, our method has greatly improved the XGI imaging speed and paves the way for X-ray imaging application of motion objects, such as the inspection of rotating aero-engines and in vivo medical imaging. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_00552 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Tabletop X-ray ghost video of moving objects Zeng, Hui Li, Ming-Fei Yu, Zhi-Yue Shi, Bing-Zhan Wu, Xiao-Jing Feng, Jie Wang, Jin-Guang Li, Yi-Fei Wu, Ling-An Shi, Jian-Hong Chen, Li-Ming Optics X-ray imaging is widely employed in clinical medicine, industrial inspection, and various scientific research fields. Unfortunately, most currently used X-ray two-dimensional (2D) detectors suffer from a fundamental trade-off between the number of pixels and readout time, making them unsuitable for fast moving objects imaging, as well as the readout dead time causes frame losses. X-ray ghost imaging (XGI) offers an alternative approach to image an object using only a highly sensitive single-pixel detector. However, a critical limitation of existing XGI methods is the excessive total acquisition time required, rendering it impractical for real applications. In this paper, we propose a rapid spatial modulation scheme based on random binary patterns encoded onto a fast-spinning mask. Clear X-ray visualization of moving objects is demonstrated with imaging rates up to 200 frames per second with a resolution of 225 um. For the first time, our method has greatly improved the XGI imaging speed and paves the way for X-ray imaging application of motion objects, such as the inspection of rotating aero-engines and in vivo medical imaging. |
| title | Tabletop X-ray ghost video of moving objects |
| topic | Optics |
| url | https://arxiv.org/abs/2601.00552 |