Evidence map›Paper›PMID 36478805›Full record

ArticleHeliyon2022

An intelligent method for measuring high refractive index based on optical coherence tomography and image processing.

Fu Hongbo, Liu Yang, Gao Weijian, Lan Yintao, Zhong Fangyu, Cheng Mengmeng, Zhang Jian

Abstract read
In one paragraph

Article in Heliyon, 2022. 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

7 authors.

Fu HongboSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Liu YangSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Gao WeijianSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Lan YintaoSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Zhong FangyuSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Cheng MengmengSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.
Zhang JianSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a new method to measure high refractive index (RI) materials with irregular shapes based on optical coherent tomography (OCT) images. Since the optical path length is the critical parameter to calculate RI, image fusion, thresholding, boundary extraction, and Hough transform were adopted in a well-organized sequence to extract this parameter when analyzing OCT images. Hough transform plays a key role in target recognition and parameter extraction. Glass and diamond were used as samples to test the validity of this method. The measurement result has reasonable consistency with the standard value. The method introduced in this paper has the potential to raise the automation and intelligence level of the existing research. A bright application prospect can be expected in industrial fields, such as optical glass, jewelry, and mineral substance.

Indexed as

Image processingOptical coherence tomographyRefractive index

Identifiers

PMID36478805
PMCPMC9720533

What OpenQuestion holds

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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.