Evidence map›Paper›PMID 37692562›Full record

ArticleJournal of biomedical optics2023

Spectroscopic optical coherence tomography at 1200 nm for lipid detection.

Vivek Kuttippurath, Nuria Slijkhuis, Shengnan Liu, Gijs van Soest

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Vivek KuttippurathErasmus University Medical Center, Department of Cardiology, Rotterdam, The Netherlands.
Nuria SlijkhuisErasmus University Medical Center, Department of Cardiology, Rotterdam, The Netherlands.ORCID 0000-0002-6922-2045
Shengnan LiuErasmus University Medical Center, Department of Cardiology, Rotterdam, The Netherlands.
Gijs van SoestDelft University of Technology, Department of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft, The Netherlands.ORCID 0000-0001-6474-3100
Erasmus MC · NLDelft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Spectroscopic analysis of optical coherence tomography (OCT) data can yield added information about the sample's chemical composition, along with high-resolution images. Typical commercial OCT systems operate at wavelengths that may not be optimal for identifying lipid-containing samples based on absorption features. Aim: The main aim of this study was to develop a 1200 nm spectroscopic OCT (SOCT) for the classification of lipid-based and water-based samples by extracting the lipid absorption peak at 1210 nm from the OCT data. Approach: We developed a 1200 nm OCT system and implemented a signal processing algorithm that simultaneously retrieves spectroscopic and structural information from the sample. In this study, we validated the performance of our OCT system by imaging weakly scattering phantoms with and without lipid absorption features. An orthogonal projections to latent structures-discriminant analysis (OPLS-DA) model was developed and applied to classify weakly scattering samples based on their absorption features. Results: The OCT system achieved an axial resolution of Conclusions: The 1200 nm SOCT system can discriminate the lipid-containing weakly scattering samples from water-based weakly scattering samples with good predictive ability.

Indexed as

Spectrum AnalysisTomography, Optical CoherenceHumansImage Processing, Computer-AssistedLipidsWaterLipidsWaterbiomedical imaginglipid-rich plaquesoptical coherence tomographyspectroscopic optical coherence tomography

Identifiers

PMID37692562
PMCPMC10492233
OpenAlexW4386578602

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.