Evidence map›Paper›PMID 25780735›Full record

ArticleBiomedical optics express2015

Broadband absorption and reduced scattering spectra of in-vivo skin can be noninvasively determined using δ-P1 approximation based spectral analysis.

Cheng-Hung Hung, Ting-Chun Chou, Chao-Kai Hsu, Sheng-Hao Tseng

Abstract read
In one paragraph

Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Relevance and utility of theBiomedical optics express · 2023
    Review
  5. Tissue Phantoms for Biomedical Applications in Raman Spectroscopy: A Review.Biomedical engineering and computational biology · 2020
    Review
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.

Cheng-Hung HungDepartment of Photonics, National Cheng-Kung University, Tainan, 701, Taiwan.
Ting-Chun ChouDepartment of Photonics, National Cheng-Kung University, Tainan, 701, Taiwan.
Chao-Kai HsuDepartment of Dermatology, National Cheng Kung University College of Medicine and Hospital, Tainan, 701, Taiwan.
Sheng-Hao TsengDepartment of Photonics, National Cheng-Kung University, Tainan, 701, Taiwan ; Advanced Optoelectronic Technology Center, National Cheng-Kung University, Tainan, 701, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, we revealed that a linear gradient line source illumination (LGLSI) geometry could work with advanced diffusion models to recover the sample optical properties at wavelengths where sample absorption and reduced scattering were comparable. In this study, we employed the LGLSI geometry with a broadband light source and utilized the spectral analysis to determine the broadband absorption and scattering spectra of turbid samples in the wavelength range from 650 to 1350 nm. The performance of the LGLSI δ-P1 diffusion model based spectral analysis was evaluated using liquid phantoms, and it was found that the sample optical properties could be properly recovered even at wavelengths above 1000 nm where μs' to μa ratios were in the range between 1 to 20. Finally, we will demonstrate the use of our system for recovering the 650 to 1350 nm absorption and scattering spectra of in-vivo human skin. We expect this system can be applied to study deep vessel dilation induced hemoglobin concentration variation and determine the water and lipid concentrations of in-vivo skin in clinical settings in the future.

Indexed as

(170.2945) Illumination design(170.3660) Light propagation in tissues(170.5280) Photon migration(170.7050) Turbid media

Identifiers

PMID25780735
PMCPMC4354575

What OpenQuestion holds

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Registered trials

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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.