Evidence map›Paper›PMID 39599124›Full record

ArticleSensors (Basel, Switzerland)2024

Triple Spectral Line Imaging of Whole-Body Human Skin: Equipment, Image Processing, and Clinical Data.

Janis Spigulis, Uldis Rubins, Edgars Kviesis-Kipge, Inga Saknite, Ilze Oshina, Egija Vasilisina

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

6 authors.

Janis SpigulisInstitute of Atomic Physics and Spectroscopy, Faculty of Science and Technology, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.ORCID 0000-0003-3000-4486
Uldis RubinsInstitute of Atomic Physics and Spectroscopy, Faculty of Science and Technology, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.ORCID 0000-0001-9033-0852
Edgars Kviesis-KipgeInstitute of Atomic Physics and Spectroscopy, Faculty of Science and Technology, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.
Inga SakniteInstitute of Atomic Physics and Spectroscopy, Faculty of Science and Technology, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.ORCID 0000-0002-4000-5485
Ilze OshinaInstitute of Atomic Physics and Spectroscopy, Faculty of Science and Technology, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.
Egija VasilisinaFaculty of Medicine and Life Sciences, University of Latvia, Jelgavas 3, LV-1004 Riga, Latvia.

Funding

EU Recovery and Resilience Facility 5.2.1.1.i.0/2/24/I/CFLA/007Latvian Council of Science VPP-EM-FOTONIKA-2022/1-0001
6 · The paper itself

Abstract

Multispectral imaging can provide objective quantitative data on various clinical pathologies, e.g., abnormal content of bio-substances in human skin. Performance of diagnostics increases with decreased spectral bandwidths of imaging; from this point, ultra-narrowband laser spectral line imaging is well suited for diagnostic applications. In this study, 40 volunteers participated in clinical validation tests of a newly developed prototype device for triple laser line whole-body skin imaging. The device comprised a vertically movable high-resolution camera coupled with a specific illumination unit-a side-emitting optical fiber spiral that emits simultaneously three RGB laser spectral lines at the wavelengths 450 nm, 520 nm, and 628 nm. The prototype's design details, skin spectral image processing, and the obtained first clinical data are reported and discussed.

Indexed as

Image Processing, Computer-AssistedSkinAdultFemaleHumansLasersMalemultispectral tissue imagingoptical diagnosticsRGB laser illuminationwhole-body dermatoscopy

Identifiers

PMID39599124
PMCPMC11598366

What OpenQuestion holds

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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.