Evidence map›Paper›PMID 21483607›Full record

ArticleBiomedical optics express2011

Depth-selective fiber-optic probe for characterization of superficial tissue at a constant physical depth.

Can Fang, David Brokl, Randall E Brand, Yang Liu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Can Fang
David Brokl
Randall E Brand
Yang Liu
University of Pittsburgh · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Therapuetic Immune Targeting of EphA2 Expressed by Melanoma & Its Tumor-AssociateP50CA121973 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRKWOOD, JOHN MUNN · 2008 to 2018
$22.9M
NCATS NIH HHS UL1 TR000005NCI NIH HHS P50 CA121973NCRR NIH HHS UL1 RR024153
6 · The paper itself

Abstract

The in vivo assessment of superficial tissue has shown great promise in many biomedical applications. Significant efforts have been expended in designing compact fiber-optic probes with short tissue penetration depth targeting the superficial epithelium. In this paper, we present a compact and simple two-channel fiber-optic probe with superior depth selectivity for the superficial tissue. This probe employs a high-index ball-lens with an optimized illumination area and the maximal overlap between light illumination and collection spots, while maintaining sufficient light collection efficiency with minimized specular reflection. Importantly, we show that this probe allows the selection of a constant and shallow physical penetration depth, insensitive to a wide range of tissue-relevant scattering coefficients and anisotropy factors. We demonstrate the capability of this depth-selective fiber-optic probe to accurately quantify the absorber concentration in superficial tissue without the distortion of tissue scattering properties; and characterize the optical properties of superficial skin tissue.

Indexed as

(170.6510) Spectroscopy, tissue diagnostics(170.6935) Tissue characterization

Identifiers

PMID21483607
PMCPMC3072125
OpenAlexW2041456665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.