Evidence map›Paper›PMID 41807591›Full record

ArticleScientific reports2026

Design of a tube lens with a focus tunable lens for optical inspection systems.

Younghoon Park, Yong Joo Jo, Jaemyung Ryu, Hojong Choi

Abstract read
In one paragraph

Article in Scientific reports, 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.

Younghoon Park *Department of Optical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea.
Yong Joo Jo *Optical Solution Division, Samsung Electron-mechanics, Suwon, 16677, Republic of Korea.
Jaemyung RyuDepartment of Optical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea. jmryu@kumoh.ac.kr.
Hojong ChoiDepartment of Electronic Engineering, Gachon University, Seongnam, 13120, Republic of Korea. hojongch@gachon.ac.kr.

Funding

Gyeongsangbuk-do RISE Specialized Industry Scale-up unitInstitute of Information & Communications Technology Planning & Evaluation IITP-2025-RS-2020-11201612
6 · The paper itself

Abstract

Optical inspection systems use large numerical apertures (NAs) to achieve high resolution. However, as the NA increases, the depth of field decreases significantly, causing images to blur easily with slight object shifts. Conventional methods maintain focus by mechanically moving the entire lens or specific lens groups. However, these methods increase the system volume, require high-performance motors, and necessitate precise inertial control when the lens group mass is substantial. In this study, we propose a novel tube lens design that integrates a focus tunable lens (FTL), which electronically adjusts its curvature without requiring mechanical movement. We precisely calculated the required curvature radius of the FTL for various object distances and performed optical simulations to verify the system performance before fabrication. The developed tube lens has a focal length of 300 mm and is combined with objective lenses featuring focal lengths of 30 and 60 mm. This enables magnifications of 10X and 5X, respectively. Simulation results confirmed stable image positions for object shifts of ± 50 μm and ± 0.36 mm at 10X and 5X magnifications, respectively, while maintaining diffraction-limited resolution and near-zero distortion aberration. These findings demonstrate that FTL-based focus control is highly suitable for high-precision inspection and imaging applications.

Indexed as

Focus tunable lensInspection optical systemTunable lens

Identifiers

PMID41807591
PMCPMC13100319

What OpenQuestion holds

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LicenceCC BY
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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.