Evidence map›Paper›PMID 20953266›Full record

ArticleCurrent protocols in cytometry2009

Calibration of Flow Cytometry for Quantitative Quantum Dot Measurements.

Rowena Mittal, Marcel P Bruchez

Abstract read
In one paragraph

Article in Current protocols in cytometry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Rowena MittalDepartment of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213.
Marcel P Bruchez

Funding

Long Wavelength Quantum Dot-based probes - cell trackingR01EB000364 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI WAGGONER, ALAN S · 2002 to 2006
$3.4M
NIBIB NIH HHS R01 EB000364
6 · The paper itself

Abstract

Observations of quantum dot (QD) labeled cells in biomedical research are mainly qualitative in nature, which limits the ability of researchers to compare results experiment-to-experiment and lab-to-lab to improve the state-of-the-art. Labeled cells are useful in a range of in vitro and in vivo assays where tracking behavior of administered cells is integral for answering research questions in areas such as tissue engineering and stem cell therapy. Before the full potential of QD based toolsets can be realized in the clinic, uptake of QDs by cells must be quantified and standardized. This unit describes a novel, simple method to assess the number of QDs per cell using flow cytometry and commercially available standards. This quick and easy method can be used by all researchers to calibrate their flow cytometry instruments and settings, and quantify QD uptake by cells for in vitro and in vivo experimentation for comparable results across QD conjugate types, cell types, research groups, lots of commercial QDs, and homemade QDs.

Identifiers

PMID20953266
PMCPMC2954430

What OpenQuestion holds

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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.