Evidence map›Paper›PMID 41872215›Full record

ArticleNature communications2026

Biologically inspired microlens array camera for high-resolution wide field-of-view imaging.

Jae-Myeong Kwon, Yejoon Kwon, Young-Gil Cha, Dong Hyun Han, Hyun-Kyung Kim, Je-Kyun Park, Min H Kim, Ki-Hun Jeong

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

8 authors.

Jae-Myeong KwonDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0009-0002-1854-157X
Yejoon KwonSchool of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0009-0005-7026-8226
Young-Gil ChaDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0009-0008-8758-9781
Dong Hyun HanDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Hyun-Kyung KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-3020-7040
Je-Kyun ParkDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0003-4522-2574
Min H KimSchool of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. minhkim@kaist.ac.kr.ORCID http://orcid.org/0000-0002-5078-4005
Ki-Hun JeongDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. kjeong@kaist.ac.kr.ORCID http://orcid.org/0000-0003-4799-7816

Funding

Ministry of Health and Welfare (Ministry of Health, Welfare and Family Affairs) RS-2024-00512384Ministry of Trade, Industry and Energy (Ministry of Trade, Industry and Energy, Korea) RS-2024-00432381National Research Foundation of Korea (NRF) RS-2025-00523089
6 · The paper itself

Abstract

Natural vision employs diverse strategies to achieve wide field-of-view imaging critical for environmental awareness. Here we report spatially offset ellipsoidal microlens array camera, inspired by the angular sampling strategy of Xenos peckii for high-resolution wide field-of-view imaging. The camera features optical units with spatially offset-coupled apertures and ellipsoidal microlenses onto a single planar sensor within a 0.94 mm total track length. Direction-specific spatial offsets and asymmetric microlens curvatures substantially reduce aberrations across a 140° field-of-view. Digital calibration and image stitching reconstruct complex surfaces such as microfluidic channels, dental phantoms, and human faces, producing one-megapixel images with 1.1-pixel error. This ultrathin camera provides high-resolution and wide field-of-view imaging of real-world targets in confined spaces for applications in machine vision, mobile imaging, and healthcare monitoring.

Indexed as

LensesCalibrationEquipment DesignHumansImage Processing, Computer-AssistedPhantoms, Imaging

Identifiers

PMID41872215
PMCPMC13172470

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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.