Evidence map›Paper›PMID 24874577›Full record

ArticlePhysics in medicine and biology2014

Modeling the efficiency of a magnetic needle for collecting magnetic cells.

Kimberly S Butler, Natalie L Adolphi, H C Bryant, Debbie M Lovato, Richard S Larson, Edward R Flynn

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kimberly S ButlerDepartment of Pathology, University of New Mexico Health Sciences Center, 1 University of New Mexico, Albuquerque, NM 87131, USA.
Natalie L Adolphi
H C Bryant
Debbie M Lovato
Richard S Larson
Edward R Flynn

Funding

Improving Biopsies using Magnetic NanoparticlesR44CA105742 · NCI · SENIOR SCIENTIFIC · PI FLYNN, EDWARD R · 2008 to 2011
$1.1M
Improving Biopsies using Magnetic NanoparticlesR43CA105742 · NCI · SENIOR SCIENTIFIC · PI FLYNN, EDWARD R · 2005 to 2006
$399k
NCI NIH HHS R43 CA105742NCI NIH HHS R44 CA105742
6 · The paper itself

Abstract

As new magnetic nanoparticle-based technologies are developed and new target cells are identified, there is a critical need to understand the features important for magnetic isolation of specific cells in fluids, an increasingly important tool in disease research and diagnosis. To investigate magnetic cell collection, cell-sized spherical microparticles, coated with superparamagnetic nanoparticles, were suspended in (1) glycerine-water solutions, chosen to approximate the range of viscosities of bone marrow, and (2) water in which 3, 5, 10 and 100% of the total suspended microspheres are coated with magnetic nanoparticles, to model collection of rare magnetic nanoparticle-coated cells from a mixture of cells in a fluid. The magnetic microspheres were collected on a magnetic needle, and we demonstrate that the collection efficiency versus time can be modeled using a simple, heuristically-derived function, with three physically-significant parameters. The function enables experimentally-obtained collection efficiencies to be scaled to extract the effective drag of the suspending medium. The results of this analysis demonstrate that the effective drag scales linearly with fluid viscosity, as expected. Surprisingly, increasing the number of non-magnetic microspheres in the suspending fluid results increases the collection of magnetic microspheres, corresponding to a decrease in the effective drag of the medium.

Indexed as

Magnetic PhenomenaModels, BiologicalNeedlesCell SeparationMicrospheresNanoparticlesPolystyrenesTime FactorsPolystyrenes

Identifiers

PMID24874577
PMCPMC4084562

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.