Evidence map›Paper›PMID 42845802›Full record

ArticleNanophotonics (Berlin, Germany)2026

Hybrid Metalens-Compressive Sensing Imaging System for Ultra-Low-Power Edge Detection.

Sejin Yoon, Hasung Kim, Hyunkeun Lee, Trevon Badloe

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 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

4 authors.

Sejin YoonDepartment of Electronics and Information Engineering Korea University Sejong South Korea.ORCID https://orcid.org/0009-0000-4972-1018
Hasung KimDepartment of AI Semiconductor Engineering Korea University Sejong South Korea.ORCID https://orcid.org/0009-0005-7676-4319
Hyunkeun LeeDepartment of AI Semiconductor Engineering Korea University Sejong South Korea.ORCID https://orcid.org/0000-0002-1356-5639
Trevon BadloeDepartment of Electronics and Information Engineering Korea University Sejong South Korea.ORCID https://orcid.org/0000-0001-9458-6062

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-power edge detection is essential for next-generation vision systems that require real-time on-device processing of optical information. Conventional imagers rely on power-intensive digital postprocessing for edge detection, creating a data bottleneck between the image sensor and signal processor. We propose a system-level hybrid optoelectronic edge imaging framework that combines an analog optical computing metalens with a compressive sensing CMOS image sensor (CS-CIS). The spiral metalens with a topological charge of

Indexed as

compressive sensingedge‐enhanced imagingmetalensopto‐electronic computing

Identifiers

PMID42845802
PMCPMC13642553

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.