Evidence map›Paper›PMID 34815438›Full record

ArticleScientific reports2021

Diffuse terahertz spectroscopy in turbid media using a wavelet-based bimodality spectral analysis.

Mahmoud E Khani, Omar B Osman, M Hassan Arbab

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Triage ofBiomedical optics express · 2023
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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.

Mahmoud E KhaniDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY, 11794, USA.
Omar B OsmanDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY, 11794, USA.
M Hassan ArbabDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY, 11794, USA. hassan.arbab@stonybrook.edu.

Funding

Noninvasive Broadband Terahertz Assessment of Burn SeverityR01GM112693 · NIGMS · UNIVERSITY OF WASHINGTON · PI ARBAB, M. HASSAN · 2015 to 2019
$2.6M
NIGMS NIH HHS R01 GM112693NIGMS NIH HHS R01GM112693
6 · The paper itself

Abstract

Current terahertz (THz) spectroscopy techniques only use the coherent light beam for spectral imaging. In the presence of electromagnetic scattering, however, the scattering-mitigated incoherent beams allow for flexible emitter-detector geometries, which enable applications such as seeing through turbid media. Despite this potential, THz spectroscopy using diffuse waves has not been demonstrated. The main obstacles are the very poor signal to noise ratios of the diffused fields and the resonance-like spectral artifacts due to multiple Mie scattering events that obscure the material absorption signatures. In this work, we demonstrate diffuse THz spectroscopy of a heterogeneous sample through turbid media using a novel technique based on the wavelet multiresolution analysis and the bimodality coefficient spectrum, which we define here for the first time using the skewness and kurtosis of the spectral images. The proposed method yields broadband and simultaneous material characterization at detection angles as high as 90° with respect to the incident beam. We determined the accuracy of the wavelet-based diffuse spectroscopy at oblique detection angles, by evaluating the area under the receiver operating characteristic curves, to be higher than 95%. This technique is agnostic to any a priori information on the spectral signatures of the sample materials or the characteristics of the scattering medium, and can be expanded for other broadband spectroscopic modalities.

Indexed as

EmulsionsScattering, RadiationWavelet AnalysisLactoseTerahertz SpectroscopyEmulsionsLactose

Identifiers

PMID34815438
PMCPMC8611087

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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.