Evidence map›Paper›PMID 31608318›Full record

ArticleNanoscale advances2019

Indirect magnetic force microscopy.

Joshua Sifford, Kevin J Walsh, Sheng Tong, Gang Bao, Gunjan Agarwal

Abstract read
In one paragraph

Article in Nanoscale advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Multiplexed sensing of biomolecules with optically detected magnetic resonance of nitrogen-vacancy centers in diamond.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

5 authors.

Joshua SiffordDepartment of Mechanical Engineering, The Ohio State University, Columbus, OH 43210, USA.
Kevin J WalshBiophysics Program, The Ohio State University, Columbus, OH 43210, USA.
Sheng TongDepartment of Bioengineering, Rice University, Houston, Texas 77005, USA.
Gang BaoDepartment of Bioengineering, Rice University, Houston, Texas 77005, USA.
Gunjan AgarwalDepartment of Biomedical Engineering, The Ohio State University, 288 Bevis Hall, 1080 Carmack Road, Columbus, OH 43210, USA.ORCID 0000-0003-3731-2107

Funding

Molecular Biophysics predoctoral training at The Ohio State UniversityT32GM118291 · NIGMS · OHIO STATE UNIVERSITY · PI BUNDSCHUH, RALF A, KURET, JEFF · 2017 to 2021
$720k
NIGMS NIH HHS T32 GM118291
6 · The paper itself

Abstract

Magnetic force microscopy (MFM) is an atomic force microscopy (AFM)-based technique to map magnetic domains in a sample. MFM is widely used to characterize magnetic recording media, magnetic domain walls in materials, nanoparticles and more recently iron deposits in biological samples. However, conventional MFM requires multiple scans of the samples, suffers from various artifacts and is limited in its capability for multimodal imaging or imaging in a fluid environment. We propose a new modality, namely indirect magnetic force microscopy (ID-MFM), a technique that employs an ultrathin barrier between the probe and the sample. Using fluorescently conjugated superparamagnetic nanoparticles, we demonstrate how ID-MFM can be achieved using commercially available silicon nitride windows, MFM probes and AFM equipment. The MFM signals obtained using ID-MFM were comparable to those obtained using conventional MFM. Further, samples prepared for ID-MFM were compatible with multi-modal imaging via fluorescence and transmission electron microscopy. Thus ID-MFM can serve as a high-throughput, multi-modal microscopy technique which can be especially attractive for detecting magnetism in nanoparticles and biological samples.

Identifiers

PMID31608318
PMCPMC6788631

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.