Evidence map›Paper›PMID 39220994›Full record

ArticleHeliyon2024

Investigation and comparison of the influence of modified DBR and yellow color filters for quantum dot color conversion-based micro LED applications.

Bao-Le Dai, Jing-Wei Ji, Bing-Han Wu, Kuan-An Chen, Hideki Kuroda, Hung-Chen Kou, Tomohiro Akada, Chun-Yu Li

Abstract read
In one paragraph

Article in Heliyon, 2024. 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.

Bao-Le DaiGraduate School of Electronic Engineering and Technology, National Yunlin University of Science and Technology, Douliu, 640301, Taiwan.
Jing-Wei JiGraduate School of Electronic Engineering and Technology, National Yunlin University of Science and Technology, Douliu, 640301, Taiwan.
Bing-Han WuGraduate School of Electronic Engineering and Technology, National Yunlin University of Science and Technology, Douliu, 640301, Taiwan.
Kuan-An ChenSynthEdge Advanced Materials Corp. Ltd., Taoyuan, 327008, Taiwan.
Hideki KurodaOtsuka Tech Electronics Corp. Ltd., Tainan, 700019, Taiwan.
Hung-Chen KouOtsuka Tech Electronics Corp. Ltd., Tainan, 700019, Taiwan.
Tomohiro AkadaOtsuka Tech Electronics Corp. Ltd., Tainan, 700019, Taiwan.
Chun-Yu LiDepartment of Electronic Engineering, National Yunlin University of Science and Technology, Douliu, 640301, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compares how a modified distributed Bragg reflector (DBR) and yellow color filter (Y-CF) increase the color purity, viewing angle, and brightness of the quantum dot color conversion layer (QDCC) for micro-LED displays. We designed and built a 53-layer high-performance modified DBR with almost total blue leakage filtering (T %: 0.16 %) and very high G/R band transmittance (T %: 96.97 %) for comparison. We also use a Y-CF that filters blue light (T %: 0.84 %) and has good G/R band transmittance (T %: 94.83 %). Due to DBR's angle dependency effect, the modified DBR/QDCC structure offers a remarkable color gamut (117.41 % NTSC) at the forward viewing angle, but this rapidly diminishes beyond 30°. The Y-CF/QDCC structure retains 116 % NTSC color at all viewing angles. Because of its consistent color performance at all viewing angles, sufficient brightness, and outstanding color gamut, the Y-CF/QDCC structure is the best option for contemporary QDCC-based micro-LED displays.

Indexed as

Color conversionDistributed bragg reflector (DBR)Micro-LED displayQuantum dotYellow color filter

Identifiers

PMID39220994
PMCPMC11363836

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LicenceCC BY
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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.