Evidence map›Paper›PMID 39459125›Full record

ArticleMicromachines2024

Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast.

Yonggui Shi, Zhihai Lin, Tianran Wang, Chaokai Huang, Hui Chen, Jianxiong Chen, Yu Xie

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yonggui ShiSchool of Intelligent Manufacturing, Xiamen City University, Xiamen 361008, China.ORCID 0009-0009-7072-7399
Zhihai LinSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Tianran WangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Chaokai HuangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Hui ChenSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Jianxiong ChenSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Yu XieSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0001-5908-1894

Funding

Natural Science Foundation of Fujian Province 2022J01544Xiamen City University Research Funding Project 20105016Young and Middle-aged Teacher Educational Research Program of the Education Department of Fujian province JAT231248b
6 · The paper itself

Abstract

Micro-polarizer array (MPA) is the core optical component of the Division of Focal-Plane (DoFP) imaging system, and its design is very important to the system's performance. Traditional design methods rely on theoretical analysis and simulation, which is complicated and requires designers to have profound theoretical foundations. In order to simplify the design process and improve efficiency, this paper proposes a 2 × 2 MPA reverse-design strategy based on particle swarm optimization (PSO). This strategy uses intelligent algorithms to automatically explore the design space in order to discover MPA structures with optimal optical properties. In addition, the all-pass filter is introduced to the MPA superpixel unit in the design, which effectively reduces the crosstalk and frequency aliasing between pixels. In this study, two MPA models were designed: a traditional MPA and an MPA with an all-pass filter. The Degree of Linear Polarization (DOLP) image contrast is used as the evaluation standard and compared with the traditional MPA; the results show that the contrast of the newly designed traditional MPA image is increased by 21%, and the MPA image with the all-pass filter is significantly increased by 82%. Therefore, the reverse-design method proposed in this paper not only simplifies the design process but also can design an MPA with enhanced optical performance, which has obvious advantages over the traditional method.

Indexed as

DOLP image contrastMPAoptimizing optical performanceparticle swarm optimizationreverse design

Identifiers

PMID39459125
PMCPMC11509371

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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.