Dual-Channel Switchable Metasurface Filters for Compact Spectral Imaging with Deep Compressive Reconstruction.

Chang Wang, Xinyu Liu, Yang Zhang, Yan Sun, Zeqing Yu, Zhenrong Zheng

Abstract read

In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Recent Developments in Photofunctional Nanomaterials and Nanostructures for Emitting, Manipulating, and Harvesting Light.Nanomaterials (Basel, Switzerland) · 2024
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chang WangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0001-5902-1293

Xinyu LiuCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Yang ZhangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Yan SunCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Zeqing YuCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Zhenrong ZhengCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Funding

National Key Research and Development Program of China 2022YFF0705500

6 · The paper itself

Abstract

Spectral imaging technology, which aims to capture images across multiple spectral channels and create a spectral data cube, has been widely utilized in various fields. However, conventional spectral imaging systems face challenges, such as slow acquisition speed and large size. The rapid development of optical metasurfaces, capable of manipulating light fields versatilely and miniaturizing optical components into ultrathin planar devices, offers a promising solution for compact hyperspectral imaging (HSI). This study proposes a compact snapshot compressive spectral imaging (SCSI) system by leveraging the spectral modulations of metasurfaces with dual-channel switchable metasurface filters and employing a deep-learning-based reconstruction algorithm. To achieve compactness, the proposed system integrates dual-channel switchable metasurface filters using twisted nematic liquid crystals (TNLCs) and anisotropic titanium dioxide (TiO

Indexed as

deep learninghyperspectral imagingoptical metasurface

Identifiers

PMID37947699

DOI10.3390/nano13212854

PMCPMC10649194

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.