Evidence map›Paper›PMID 36547487›Full record

ArticleJournal of imaging2022

Image Decomposition Technique Based on Near-Infrared Transmission.

Toto Aminoto, Purnomo Sidi Priambodo, Harry Sudibyo

Abstract read
In one paragraph

Article in Journal of imaging, 2022. 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

3 authors.

Toto AminotoDepartment of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia.
Purnomo Sidi PriambodoDepartment of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia.ORCID 0000-0002-2458-777X
Harry SudibyoDepartment of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia.

Funding

University of Indonesia NKB-0319/UN2.R3.1/HKP.05.00/2019.
6 · The paper itself

Abstract

One way to diagnose a disease is to examine pictures of tissue thought to be affected by the disease. Near-infrared properties are subdivided into nonionizing, noninvasive, and nonradiative properties. Near-infrared also has selectivity properties for the objects it passes through. With this selectivity, the resulting attenuation coefficient value will differ depending on the type of material or wavelength. By measuring the output and input intensity values, as well as the attenuation coefficient, the thickness of a material can be measured. The thickness value can then be used to display a reconstructed image. In this study, the object studied was a phantom consisting of silicon rubber, margarine, and gelatin. The results showed that margarine materials could be decomposed from other ingredients with a wavelength of 980 nm.

Indexed as

attenuation coefficientdecompositionimagingnear-infraredoptics

Identifiers

PMID36547487
PMCPMC9786342

What OpenQuestion holds

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LicenceCC BY
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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.