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https://doi.org/s41586-023-05978-w
Title: | X-ray-to-visible light-field detection through pixelated colour conversion | Authors: | Luying Yi Bo Hou He Zhao Xiaogang Liu |
Issue Date: | 10-May-2023 | Publisher: | nature | Citation: | Luying Yi, Bo Hou, He Zhao, Xiaogang Liu (2023-05-10). X-ray-to-visible light-field detection through pixelated colour conversion. Nature 618 : 281–286. ScholarBank@NUS Repository. https://doi.org/s41586-023-05978-w | Abstract: | Light-field detection measures both the intensity of light rays and their precise direction in free space. However, current light-field detection techniques either require complex microlens arrays or are limited to the ultraviolet–visible light wavelength ranges1–4. Here we present a robust, scalable method based on lithographically patterned perovskite nanocrystal arrays that can be used to determine radiation vectors from X-rays to visible light (0.002–550 nm). With these multicolour nanocrystal arrays, light rays from specific directions can be converted into pixelated colour outputs with an angular resolution of 0.0018°. We find that three-dimensional light-field detection and spatial positioning of light sources are possible by modifying nanocrystal arrays with specific orientations. We also demonstrate three-dimensional object imaging and visible light and X-ray phase-contrast imaging by combining pixelated nanocrystal arrays with a colour charge-coupled device. The ability to detect light direction beyond optical wavelengths through colour-contrast encoding could enable new applications, for example, in three-dimensional phase-contrast imaging, robotics, virtual reality, tomographic biological imaging and satellite autonomous navigation. | Source Title: | Nature | URI: | https://scholarbank.nus.edu.sg/handle/10635/248905 | ISSN: | 0028-0836 1476-4687 |
DOI: | s41586-023-05978-w |
Appears in Collections: | Staff Publications Elements |
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