Evidence map›Paper›PMID 33322271›Full record

ArticleNanomaterials (Basel, Switzerland)2020

Magnetic Imaging of Encapsulated Superparamagnetic Nanoparticles by Data Fusion of Magnetic Force Microscopy and Atomic Force Microscopy Signals for Correction of Topographic Crosstalk.

Marc Fuhrmann, Anna Musyanovych, Ronald Thoelen, Sibylle von Bomhard, Hildegard Möbius

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. 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. Review
  2. Applications and Properties of Magnetic Nanoparticles.Nanomaterials (Basel, Switzerland) · 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.

Marc FuhrmannDepartment of Computer Sciences/Micro Systems Technology, University of Applied Sciences Kaiserslautern, Amerika Str. 1, 66482 Zweibrücken, Germany.ORCID 0000-0002-1030-6578
Anna MusyanovychNanoparticle Technology Department, Fraunhofer IMM, Carl-Zeiss-Str. 18-20, 55129 Mainz, Germany.
Ronald ThoelenInstitute for Materials Research, Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium.ORCID 0000-0001-6845-0866
Sibylle von BomhardNanoparticle Technology Department, Fraunhofer IMM, Carl-Zeiss-Str. 18-20, 55129 Mainz, Germany.
Hildegard MöbiusDepartment of Computer Sciences/Micro Systems Technology, University of Applied Sciences Kaiserslautern, Amerika Str. 1, 66482 Zweibrücken, Germany.

Funding

European Regional Development Fund 84004058
6 · The paper itself

Abstract

Encapsulated magnetic nanoparticles are of increasing interest for biomedical applications. However, up to now, it is still not possible to characterize their localized magnetic properties within the capsules. Magnetic Force Microscopy (MFM) has proved to be a suitable technique to image magnetic nanoparticles at ambient conditions revealing information about the spatial distribution and the magnetic properties of the nanoparticles simultaneously. However, MFM measurements on magnetic nanoparticles lead to falsifications of the magnetic MFM signal due to the topographic crosstalk. The origin of the topographic crosstalk in MFM has been proven to be capacitive coupling effects due to distance change between the substrate and tip measuring above the nanoparticle. In this paper, we present data fusion of the topography measurements of Atomic Force Microscopy (AFM) and the phase image of MFM measurements in combination with the theory of capacitive coupling in order to eliminate the topographic crosstalk in the phase image. This method offers a novel approach for the magnetic visualization of encapsulated magnetic nanoparticles.

Indexed as

atomic force microscopydata fusionhybrid nanoparticlesmagnetic force microscopypolystyrene

Identifiers

PMID33322271
PMCPMC7764545

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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.