Evidence map›Paper›PMID 18337229›Full record

ArticleToxicologic pathology2008

The application of fluorescent quantum dots to confocal, multiphoton, and electron microscopic imaging.

Thomas J Deerinck

Open access · greenAbstract read
In one paragraph

Article in Toxicologic pathology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 112 citations in OpenAlex.

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  10. EGFR Expression in HER2-Driven Breast Cancer Cells.International journal of molecular sciences · 2020
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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

1 author at 1 institution in 1 country.

Thomas J DeerinckNational Center of Microscopy and Imaging Research (NCMIR), Center for Research on Biological Systems, University of California, San Diego (UCSD) School of Medicine, 1000 BSB, 9500 Gilman Drive, MC0608, La Jolla, CA 92093-0608, USA. deerinck@ncmir.ucsd.edu
University of California, San Diego · US

Funding

VOLUMETRIC CONTOUR-BASED SURFACE RECONSTRUCTIONP41RR004050 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PASQUALE, ELENA B · 1989 to 2011
$28.0M
NCRR NIH HHS 2P41RR004050-16NCRR NIH HHS P41 RR004050
6 · The paper itself

Abstract

Fluorescent quantum dots are emerging as an important tool for imaging cells and tissues, and their unique optical and physical properties have captured the attention of the research community. The most common types of commercially available quantum dots consist of a nanocrystalline semiconductor core composed of cadmium selenide with a zinc sulfide capping layer and an outer polymer layer to facilitate conjugation to targeting biomolecules such as immunoglobulins. They exhibit high fluorescent quantum yields and have large absorption cross-sections, possess excellent photostability, and can be synthesized so that their narrow-band fluorescence emission can occur in a wide spectrum of colors. These properties make them excellent candidates for serving as multiplexing molecular beacons using a variety of imaging modalities including highly correlated microscopies. Whereas much attention has been focused on quantum-dot applications for live-cell imaging, we have sought to characterize and exploit their utility for enabling simultaneous multiprotein immunolabeling in fixed cells and tissues. Considerations for their application to immunolabeling for correlated light and electron microscopic analysis are discussed.

Indexed as

Chromogenic CompoundsQuantum DotsAnimalsDiagnostic ImagingHumansMicroscopyNanotechnologyRatsChromogenic Compounds

Identifiers

PMID18337229
PMCPMC2771444
OpenAlexW1997437932

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.