Evidence map›Paper›PMID 21247191›Full record

ArticleNano letters2011

Optical sizing of immunolabel clusters through multispectral plasmon coupling microscopy.

Hongyun Wang, Guoxin Rong, Bo Yan, Linglu Yang, Björn M Reinhard

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  17. Design and Implementation of Noble Metal Nanoparticle Cluster Arrays for Plasmon Enhanced Biosensing.The journal of physical chemistry. C, Nanomaterials and interfaces · 2011
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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

5 authors at 1 institution in 1 country.

Hongyun WangDepartment of Chemistry, Boston University, Boston, Massachusetts 02215, USA.
Guoxin Rong
Bo Yan
Linglu Yang
Björn M Reinhard
Boston University · US

Funding

Illuminating Dynamic Receptor Clustering in the Epidermal Growth Factor Receptor Signal Transduction Pathway Using Plasmon CouplingR01CA138509 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Bjoern Markus Reinhard · 2009 to 2026
$5.9M
NCI NIH HHS 5R01CA138509-02NCI NIH HHS R01 CA138509
6 · The paper itself

Abstract

The wavelength dependent scattering cross sections of self-assembled silver nanoparticle clusters of known size (n) were measured on five different wavelength channels between 427 and 510 nm through correlation of multispectral imaging and scanning electron microscopy. A multivariate statistical analysis of the spectral response of this training set provided a correlation between spectral response and cluster size and enabled a classification of new measurements into four distinct nanoparticle association levels (I1-I4) whose compositions were dominated by monomers (I1), dimers (I2), trimers and tetramers (I3), and larger clusters (I4), respectively. One potential application of the optical sizing approach is to map association levels of silver immunolabels on cellular surfaces. We demonstrate the feasibility of this approach using silver immunolabels targeted at the epidermal growth factor receptor on A431 cells in a proof of principle experiment. The ability to measure immunolabel association levels on subcellular length scales in an optical microscope provides new opportunities for experimentally assessing receptor density distributions on living cells in solution.

Indexed as

Biosensing TechniquesCrystallizationEquipment DesignEquipment Failure AnalysisImmunoassayMicroscopyNanostructuresNanotechnologyParticle SizeSilverStaining and LabelingSurface Plasmon ResonanceSilver

Identifiers

PMID21247191
PMCPMC3061089
OpenAlexW2071104524

What OpenQuestion holds

Textmetadata
LicenceTDM
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.