Evidence map›Paper›PMID 42608547›Full record

ArticleNature materials2026

An aberration-corrected bionic eye for full-colour vision and event-driven motion detection.

Zhenghao Long, Kaichen Wang, Shaoshuai He, Xiaofei Sun, Zilong Ye, Jianye Li, Ke Shen, Xiao Qiu, Yucheng Ding, Feng Xue and 6 more

Abstract read
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In one paragraph

Article in Nature materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Zhenghao LongDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Kaichen WangDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Shaoshuai HeThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China.ORCID http://orcid.org/0009-0007-3599-2483
Xiaofei SunDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Zilong YeDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Jianye LiDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Ke ShenDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.ORCID http://orcid.org/0009-0002-1326-5887
Xiao QiuDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1624-5187
Yucheng DingDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Feng XueDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Yu ZhouDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-7233-4649
Shivam KumarDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-7135-3063
Swapnadeep PoddarDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Xichao TanDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.
Yunlong ZiThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China.ORCID http://orcid.org/0000-0002-5133-4057
Zhiyong FanDepartment of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China. eezfan@ust.hk.ORCID http://orcid.org/0000-0002-5397-0129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vision sensors are central to machine vision and intelligence. However, conventional planar devices rely on multielement optics and external processors to correct optical aberrations. This approach constrains miniaturization, reduces power efficiency and generally limits the field of view. Curved sensors can provide compact, aberration-corrected imaging, but their resolution has been below practicable levels. Here we present a bioinspired bionic eye system based on a hemispherical tandem artificial retina. This high curvature image sensor achieves a pixel density of 1,905 ppi with 367,500 total pixels, providing full-colour imaging across 300-800 nm and an aberration-corrected field of view exceeding 160°. Furthermore, the tandem design enables in-sensor, event-driven motion detection. Compared with frame-based imaging, this approach reduces the demand for bandwidth by over 99.95% and achieves a motion recognition accuracy of 98.6%. This work addresses the resolution bottleneck of hemispherical sensors and highlights their promise as compact, multifunctional vision applications.

Identifiers

PMID42608547

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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.