X-ray-to-visible light-field detection through pixelated colour conversion

Luying Yi, Bo Hou, He Zhao and Xiaogang Liu ()
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Luying Yi: National University of Singapore
Bo Hou: National University of Singapore
He Zhao: National University of Singapore
Xiaogang Liu: National University of Singapore

Nature, 2023, vol. 618, issue 7964, 281-286

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41586-023-05978-w

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