Please use this identifier to cite or link to this item:
https://doi.org/s41586-023-05978-w
DC Field | Value | |
---|---|---|
dc.title | X-ray-to-visible light-field detection through pixelated colour conversion | |
dc.contributor.author | Luying Yi | |
dc.contributor.author | Bo Hou | |
dc.contributor.author | He Zhao | |
dc.contributor.author | Xiaogang Liu | |
dc.date.accessioned | 2024-06-14T07:37:50Z | |
dc.date.available | 2024-06-14T07:37:50Z | |
dc.date.issued | 2023-05-10 | |
dc.identifier.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 | |
dc.identifier.issn | 0028-0836 | |
dc.identifier.issn | 1476-4687 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/248905 | |
dc.description.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. | |
dc.publisher | nature | |
dc.type | Article | |
dc.contributor.department | CHEMISTRY | |
dc.description.doi | s41586-023-05978-w | |
dc.description.sourcetitle | Nature | |
dc.description.volume | 618 | |
dc.description.page | 281–286 | |
dc.published.state | Published | |
dc.grant.id | NUHSRO/2020/002/413 NanoNash/LOA; R143000B43114 | |
dc.grant.id | NRF-CRP23-2019-0002 | |
dc.grant.id | NRF-NRFI05-2019-0003 | |
dc.grant.id | M21J9b0085 | |
dc.grant.fundingagency | NUS NANONASH Program | |
dc.grant.fundingagency | National Research Foundation, Prime Minister’s Office, Singapore, under its Competitive Research Program | |
dc.grant.fundingagency | NRF Investigatorship Programme | |
dc.grant.fundingagency | RIE2025 Manufacturing, Trade and Connectivity (MTC) Programmatic Fund | |
Appears in Collections: | Staff Publications Elements |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
Manuscript final.pdf | 8.91 MB | Adobe PDF | OPEN | Pre-print | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.