Evidence map›Paper›PMID 25567411›Full record

ArticleJournal of X-ray science and technology2015

Optical properties of tissues quantified using morphological granulometry from phase-contrast images of thin tissue samples.

Zhifang Li, Haiyu Chen, Hui Li, Wei R Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of X-ray science and technology, 2015. 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

4 authors.

Zhifang LiFujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, College of Photonic and Electronic Engineering, Fujian Normal University, Ministry of Education, Fuzhou, Fujian, China.
Haiyu ChenDepartment of Cardiovascular Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Hui LiFujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, College of Photonic and Electronic Engineering, Fujian Normal University, Ministry of Education, Fuzhou, Fujian, China.
Wei R ChenFujian Provincial Key Laboratory of Photonic Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, College of Photonic and Electronic Engineering, Fujian Normal University, Ministry of Education, Fuzhou, Fujian, China Biophotonics Research Laboratory Department of Engineering and Physics, University of Central Oklahoma, Edmond, OK, USA.

Funding

A Novel Multifunctional Bionanoprobe-Based Phototherapy for Metastatic CancersR21EB015509 · NIBIB · UNIVERSITY OF CENTRAL OKLAHOMA · PI CHEN, WEI R. · 2013 to 2014
$350k
NIBIB NIH HHS R21 EB015509NIBIB NIH HHS R21 EB0155091
6 · The paper itself

Abstract

A method combining morphological granulometry with Mie theory to determine optical scattering in biological tissues was proposed. Otsu's method was applied to binarize phase-contrast images. Binary morphological granulometry was used to estimate size density distribution of the tissue samples based on the binary phase-contrast images. Our results showed that the optical parameters associated with light scattering in tissue could be quantitatively determined by combining size density distribution with Mie theory. It was suggested that this unique method could be used to characterize biological tissues for disease diagnosis.

Indexed as

LightModels, BiologicalScattering, RadiationComputer SimulationImage Interpretation, Computer-AssistedMicroscopy, Phase-ContrastNephelometry and TurbidimetryRefractometryMie theoryMorphological granulometryoptical scattering properties

Identifiers

PMID25567411
PMCPMC5967239

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.