Evidence map›Paper›PMID 24008818›Full record

ArticleJournal of biomedical optics2013

High-sensitivity, real-time, ratiometric imaging of surface-enhanced Raman scattering nanoparticles with a clinically translatable Raman endoscope device.

Ellis Garai, Steven Sensarn, Cristina L Zavaleta, Dominique Van de Sompel, Nathan O Loewke, Michael J Mandella, Sanjiv S Gambhir, Christopher H Contag

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  9. Image-guided tumor surgery: The emerging role of nanotechnology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
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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

8 authors.

Ellis GaraiStanford University, Department of Mechanical Engineering, Stanford, California 94305gStanford University, Molecular Imaging Program at Stanford, Stanford, California 94305.
Steven Sensarn
Cristina L Zavaleta
Dominique Van de Sompel
Nathan O Loewke
Michael J Mandella
Sanjiv S Gambhir
Christopher H Contag

Funding

Stanford Nanocharacterization LaboratoryU54CA119367 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2006 to 2010
$19.8M
Small Animal ImagingP50CA114747 · NCI · STANFORD UNIVERSITY · PI RAO, JIANGHONG · 2005 to 2014
$18.2M
STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
Task Specific Project 2U54CA136465 · NCI · STANFORD UNIVERSITY · PI WENDER, PAUL ANTHONY · 2008 to 2013
$5.3M
NCI NIH HHS P50 CA114747NCI NIH HHS T32 CA009695NCI NIH HHS U54 CA119367NCI NIH HHS U54 CA1199367NCI NIH HHS U54 CA136465
6 · The paper itself

Abstract

Topical application and quantification of targeted, surface-enhanced Raman scattering (SERS) nanoparticles offer a new technique that has the potential for early detection of epithelial cancers of hollow organs. Although less toxic than intravenous delivery, the additional washing required to remove unbound nanoparticles cannot necessarily eliminate nonspecific pooling. Therefore, we developed a real-time, ratiometric imaging technique to determine the relative concentrations of at least two spectrally unique nanoparticle types, where one serves as a nontargeted control. This approach improves the specific detection of bound, targeted nanoparticles by adjusting for working distance and for any nonspecific accumulation following washing. We engineered hardware and software to acquire SERS signals and ratios in real time and display them via a graphical user interface. We report quantitative, ratiometric imaging with nanoparticles at pM and sub-pM concentrations and at varying working distances, up to 50 mm. Additionally, we discuss optimization of a Raman endoscope by evaluating the effects of lens material and fiber coating on background noise, and theoretically modeling and simulating collection efficiency at various working distances. This work will enable the development of a clinically translatable, noncontact Raman endoscope capable of rapidly scanning large, topographically complex tissue surfaces for small and otherwise hard to detect lesions.

Indexed as

EndoscopesSignal Processing, Computer-AssistedAlgorithmsColonComputer SimulationEquipment DesignHumansLimit of DetectionNanoparticlesOptical FibersPrincipal Component AnalysisSpectrum Analysis, Raman

Identifiers

PMID24008818
PMCPMC3763230

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.