Evidence map›Paper›PMID 42711339›Full record

ArticleNature communications2026

A high-resolution polarization-hyperspectral image sensor for complex intelligent sensing.

Zhen Wang, Pengming Peng, Zhengyi Zhao, Chengfu Zhao, Rong Yan, Yibo Feng, Hanwen Xu, Jiadong Zhou, Jun Zhang, Liheng Bian

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

10 authors.

Zhen WangState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Pengming PengState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Zhengyi ZhaoState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Chengfu ZhaoState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Rong YanState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Yibo FengState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Hanwen XuState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.
Jiadong ZhouState Key Laboratory of Environment Characteristics and Effects for Near-space, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0000-0001-5268-2136
Jun ZhangState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0009-0003-9330-7350
Liheng BianState Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China. bian@bit.edu.cn.ORCID http://orcid.org/0000-0002-8016-0375

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61827901National Natural Science Foundation of China (National Science Foundation of China) 62322502National Natural Science Foundation of China (National Science Foundation of China) 624B2028
6 · The paper itself

Abstract

Light carries high-dimensional information such as spectrum and polarization, but conventional photodetectors measure only intensity, making snapshot acquisition of multiple optical dimensions difficult. Here, we report a multidimensional on-chip optical imaging (MOCI) architecture comprising three functional layers, including a multidimensional encoding layer to encode incident light, an image acquisition layer to collect coupled intensity measurements, and a computing layer to recover multidimensional images from a snapshot measurement. Following this architecture, we developed an on-chip polarization-hyperspectral imaging (PHI) sensor operating at 74 frames s

Identifiers

PMID42711339
PMCPMC13554249

What OpenQuestion holds

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Registered trials

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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.