Evidence map›Paper›PMID 26713190›Full record

ArticleBiomedical optics express2015

Endothelial-like nitric oxide synthase immunolocalization by using gold nanoparticles and dyes.

Ramla Gary, Daniela Amelio, Filippo Garofalo, Gia Petriashvili, Maria Penelope De Santo, Yuen Kwong Ip, Riccardo Barberi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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, 4 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

7 authors at 4 institutions in 3 countries.

Ramla GaryPhysics Department, University of Calabria, Rende, 87036, Italy.
Daniela AmelioDepartment of Biology Ecology and Earth Science (B.E.ST), University of Calabria, 87030 Arcavacata di Rende, CS, Italy.
Filippo GarofaloDepartment of Biology Ecology and Earth Science (B.E.ST), University of Calabria, 87030 Arcavacata di Rende, CS, Italy.
Gia PetriashviliPhysics Department, University of Calabria, Rende, 87036, Italy ; Institute of Cybernetics of the Georgian Technical University, Tbilisi, 0175, Georgia.
Maria Penelope De SantoPhysics Department, University of Calabria, Rende, 87036, Italy ; CNR-Nanotec UOS di Cosenza, c/o University of Calabria, Rende 87036, Italy.
Yuen Kwong IpDepartment of Biological Sciences, National University of Singapore, Kent Ridge, Singapore 117543, Republic of Singapore.
Riccardo BarberiPhysics Department, University of Calabria, Rende, 87036, Italy ; CNR-Nanotec UOS di Cosenza, c/o University of Calabria, Rende 87036, Italy.
University of Calabria · ITGeorgian Technical University · GEIstituto Nanoscienze · ITNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunofluorescence is a biological technique that allows displaying the localization of the target molecule through a fluorescent microscope. We used a combination of gold nanoparticles and the fluorescein isothiocianate, FITC, as optical contrast agents for laser scanning confocal microscopy imaging to localize the endothelial-like nitric oxide synthase in skeletal muscle cells in a three-dimensional tissue phantom at the depth of 4µm. The FITC detected fluorescence intensity from gold-nanoparticles-labelled cells was brighter than the emission intensity from unlabelled cells.

Indexed as

(170.1790) Confocal microscopy(280.1415) Biological sensing and sensors

Identifiers

PMID26713190
PMCPMC4679250
OpenAlexW2262346632

What OpenQuestion holds

Textmetadata
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.