Evidence map›Paper›PMID 23608952›Full record

ArticleScientific reports2013

On-chip cytometry using plasmonic nanoparticle enhanced lensfree holography.

Qingshan Wei, Euan McLeod, Hangfei Qi, Zhe Wan, Ren Sun, Aydogan Ozcan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 77 citations in OpenAlex.

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  6. Digital plasmonic holography.Light, science & applications · 2018
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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

6 authors at 2 institutions in 1 country.

Qingshan WeiElectrical Engineering Department, University of California, Los Angeles, CA 90095, USA.
Euan McLeod
Hangfei Qi
Zhe Wan
Ren Sun
Aydogan Ozcan
University of California, Los Angeles · USCalifornia NanoSystems Institute · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Towards Mega-Throughput, Label-free Genomics and Proteomics: Revolutionizing MicrDP2OD006427 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2009 to 2009
$2.3M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NIH HHS DP2 OD006427NIH HHS DP2OD006427
6 · The paper itself

Abstract

Computational microscopy tools, in particular lensfree on-chip imaging, provide a large field-of-view along with a long depth-of-field, which makes it feasible to rapidly analyze large volumes of specimen using a compact and light-weight on-chip imaging architecture. To bring molecular specificity to this high-throughput platform, here we demonstrate the use of plasmon-resonant metallic nanoparticles to automatically recognize different cell types based on their plasmon-enhanced lensfree holograms, detected and reconstructed over a large field-of-view of e.g., ~24 mm².

Indexed as

NanoparticlesEquipment DesignEquipment Failure AnalysisFlow CytometryHolographyImaging, Three-DimensionalLensesMicroscopySurface Plasmon Resonance

Identifiers

PMID23608952
PMCPMC3632884
OpenAlexW2084690844

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.