Evidence map›Paper›PMID 37402736›Full record

ArticleScientific reports2023

Rapid imaging and product screening with low-cost line-field Fourier domain optical coherence tomography.

Zijian Zhang, Xingyu Yang, Zhiyi Zhao, Feng Zeng, Sicong Ye, Sara J Baldock, Hungyen Lin, John G Hardy, Yalin Zheng, Yaochun Shen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Zijian Zhang *Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK.
Xingyu Yang *Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK.
Zhiyi ZhaoDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK.
Feng ZengDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK.
Sicong YeDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK.
Sara J BaldockDepartment of Chemistry, Lancaster University, Lancaster, LA1 4YB, UK.
Hungyen LinSchool of Engineering, Lancaster University, Lancaster, LA1 4YW, UK.
John G HardyDepartment of Chemistry, Lancaster University, Lancaster, LA1 4YB, UK.
Yalin ZhengDepartment of Eye and Vision Sciences, University of Liverpool, Liverpool, L7 8TX, UK. yzheng@liverpool.ac.uk.
Yaochun ShenDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK. Y.C.Shen@liverpool.ac.uk.
University of Liverpool · GBLancaster University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L0137971/1
6 · The paper itself

Abstract

Fourier domain optical coherence tomography (FD-OCT) is a well-established imaging technique that provides high-resolution internal structure images of an object at a fast speed. Modern FD-OCT systems typically operate at speeds of 40,000-100,000 A-scans/s, but are priced at least tens of thousands of pounds. In this study, we demonstrate a line-field FD-OCT (LF-FD-OCT) system that achieves an OCT imaging speed of 100,000 A-scan/s at a hardware cost of thousands of pounds. We demonstrate the potential of LF-FD-OCT for biomedical and industrial imaging applications such as corneas, 3D printed electronics, and printed circuit boards.

Identifiers

PMID37402736
PMCPMC10319780
OpenAlexW4383092981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.