Evidence map›Paper›PMID 35808229›Full record

ArticleSensors (Basel, Switzerland)2022

Full-Stokes Retrieving and Configuration Optimization in a Time-Integration Imaging Polarimeter.

Naiting Gu, Bowen Lian, Yawei Xiao, Linhai Huang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

Naiting GuInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.ORCID 0000-0003-0030-2802
Bowen LianInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Yawei XiaoInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Linhai HuangInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.

Funding

National Key R&D Program of China 2021YFC2202204National Natural Science Foundation of China 61905252, 12022308 & 12073031Youth Innovation Promotion Association 2018412
6 · The paper itself

Abstract

A time-integration imaging polarimeter with continuous rotating retarder is presented, and its full-Stokes retrieving and configuration optimization are also demonstrated. The mathematical expression between the full-Stokes vector and the time-integration light intensities is derived. As a result, the state of polarization of incident light can be retrieved by only one matrix calculation. However, the modulation matrix deviates from the initial well-conditioned status due to time integration. Thus, we re-optimize the nominal angles for the special retardance of 132° and 90° with an exposure angle of 30°, which results in a reduction of 31.8% and 16.8% of condition numbers comparing to the original configuration, respectively. We also give global optimization results under different exposure angles and retardance of retarder; as a result, the 137.7° of retardance achieves a minimal condition number of 2.0, which indicates a well-conditioned polarimeter configuration. Besides, the frame-by-frame algorithm ensures the dynamic performance of the presented polarimeter. For a general brushless DC motor with a rotating speed of over 2000 rounds per minute, the speed of polarization imaging will achieve up to 270 frames per second. High precision and excellent dynamic performance, together with features of compactness, simplicity, and low cost, may give this traditional imaging polarimeter new life and attractive prospects.

Indexed as

LightRefractometryAlgorithmsEquipment Designconfiguration optimizationfull-Stokes vector retrievingimaging polarimetertime integration

Identifiers

PMID35808229
PMCPMC9268785

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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.