Evidence map›Paper›PMID 40968269›Full record

ArticleLight, science & applications2025

Multi-depth switching by triple wavefront modulation of quarter-waveplate geometric phase lenses for vergence-accommodation-matching extended reality.

Jung-Yeop Shin, Jae-Won Lee, Hafiz Saad Khaliq, Erkhembaatar Dashdavaa, Munkh-Uchral Erdenebat, Min-Seok Kim, Jin-Hyeok Seo, Young-Min Cho, Hak-Rin Kim

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Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

9 authors.

Jung-Yeop Shin *School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Jae-Won Lee *School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Hafiz Saad KhaliqSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-9620-2640
Erkhembaatar DashdavaaCenter for Semiconductor-Specialized University, Kyungpook National University, Daegu, Republic of Korea.
Munkh-Uchral ErdenebatCenter for Semiconductor-Specialized University, Kyungpook National University, Daegu, Republic of Korea.
Min-Seok KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Jin-Hyeok SeoSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Young-Min ChoSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Hak-Rin KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea. rineey@knu.ac.kr.ORCID http://orcid.org/0000-0002-2369-2295

Funding

National Research Foundation of Korea (NRF) RS-2024-00416272
6 · The paper itself

Abstract

We present a novel approach to resolving the vergence-accommodation conflict (VAC) in extended reality (XR) optics by introducing a quarter-waveplate (QWP) geometric phase lens (GPL) capable of triple wavefront modulation-focusing, defocusing, and non-modulating at infinity. This polarization-driven behavior is interpreted using contour trajectories on the Poincaré sphere and compared against conventional half-waveplate (HWP) GPLs. Leveraging this property, we propose a bi-stacked QWP GPL module that enables nine distinct varifocal states through polarization-controlled input selection and output filtering. In contrast, HWP-based modules under equivalent stacking conditions are limited to four focal states. The QWP GPL module supports a compact varifocal system spanning a continuous depth range from 24.27 cm to infinity, with a 0.3-diopter interval aligned with the human visual comfort zone. Importantly, the number of representable focal depths scales as 3

Identifiers

PMID40968269
PMCPMC12446484

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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.