Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (15/15 displayed)

  • 2022Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique18citations
  • 2016Evaluation of biomolecular distributions in rat brain tissues by means of ToF-SIMS using a continuous beam of Ar clusters6citations
  • 2015Mass spectrometric imaging of brain tissue by time-of-flight secondary ion mass spectrometry - How do polyatomic primary beams C 60 + , Ar 2000 + , water-doped Ar 2000 + and (H 2 O) 6000 + compare?29citations
  • 2015Mass spectrometric imaging of brain tissue by time-of-flight secondary ion mass spectrometry – How do polyatomic primary beams C60+, Ar2000+, water-doped Ar2000+ and (H2O)6000+ compare?29citations
  • 2013Time-of-flight SIMS as a novel approach to unlocking the hypoxic properties of cancer9citations
  • 2013Peptide structural analysis using continuous Ar cluster and C60 ion beams27citations
  • 2013Peptide structural analysis using continuous Ar cluster and C60 ion beams27citations
  • 2013Peak picking as a pre-processing technique for imaging time of flight secondary ion mass spectrometry2citations
  • 2013ToF-SIMS as a tool for metabolic profiling small biomolecules in cancer systems25citations
  • 2012Peak picking as a pre-processing technique for imaging time of flight secondary ion mass spectrometrycitations
  • 2011Interactive spatio-spectral analysis of three-dimensional mass-spectral (3DxMS) chemical images4citations
  • 2011Three-dimensional mass spectral imaging of HeLa-M cells - Sample preparation, data interpretation and visualisation119citations
  • 2009A comparison of PCA and MAF for ToF-SIMS image interpretation62citations
  • 2008A new dynamic in mass spectral imaging of single biological cells262citations
  • 2004ToF-SIMS studies of sulfuric acid hydrate films7citations

Places of action

Chart of shared publication
Ferguson, Dougal
1 / 1 shared
Gardner, Peter
1 / 6 shared
Lind, Rob
1 / 1 shared
Mcinnes, Elizabeth F.
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Wildenhain, Jan
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Himi, Naoyuki
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Yokoyama, Yuta
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Nakano, Shusuke
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Vickerman, John C.
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Aoyagi, Satoka
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Lockyer, Nicholas P.
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Fletcher, John S.
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Razo, Irma Berrueta
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Sheraz, Sadia
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Berrueta Razo, Irma
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Kotze, Helen L.
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Armitage, Emily G.
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Williams, Kaye
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Kawashima, Tomoko
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Moore, Jimmy D.
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Tao, Qingping
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Tian, Xue
1 / 1 shared
Reichenbach, Stephen E.
1 / 3 shared
Lindquist, Robert
1 / 1 shared
Rabbani, Sadia
2 / 2 shared
Thompson, Steve P.
1 / 1 shared
Blenkinsopp, Paul
1 / 1 shared
Horn, Andrew B.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Ferguson, Dougal
  • Gardner, Peter
  • Lind, Rob
  • Mcinnes, Elizabeth F.
  • Wildenhain, Jan
  • Himi, Naoyuki
  • Yokoyama, Yuta
  • Nakano, Shusuke
  • Vickerman, John C.
  • Aoyagi, Satoka
  • Lockyer, Nicholas P.
  • Fletcher, John S.
  • Razo, Irma Berrueta
  • Sheraz, Sadia
  • Berrueta Razo, Irma
  • Kotze, Helen L.
  • Armitage, Emily G.
  • Williams, Kaye
  • Kawashima, Tomoko
  • Moore, Jimmy D.
  • Tao, Qingping
  • Tian, Xue
  • Reichenbach, Stephen E.
  • Lindquist, Robert
  • Rabbani, Sadia
  • Thompson, Steve P.
  • Blenkinsopp, Paul
  • Horn, Andrew B.
OrganizationsLocationPeople

article

Evaluation of biomolecular distributions in rat brain tissues by means of ToF-SIMS using a continuous beam of Ar clusters

  • Himi, Naoyuki
  • Yokoyama, Yuta
  • Henderson, Alex
  • Nakano, Shusuke
  • Vickerman, John C.
  • Aoyagi, Satoka
  • Lockyer, Nicholas P.
  • Fletcher, John S.
Abstract

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) provides detailed chemical structure information and high spatial resolutionimages. Therefore, ToF-SIMS is useful for studying biological phenomena such as ischemia. In this study, in order to evaluate cerebral microinfarction, the distribution of biomolecules generated by ischemia was measured with ToF-SIMS. ToF-SIMS data sets were analyzed by means of multivariate analysis for interpreting complex samples containing unknown information and to obtain biomolecular mapping indicated by fragment ions from the target biomolecules. Using conventional ToF-SIMS (primary ion source: Bi cluster ion), it is difficult to detect secondary ions beyond approximately 1000 u. Moreover, the intensity of secondary ions related to biomolecules is not always high enough for imaging because of low concentration even if the masses are lower than 1000 u. However, for the observation of biomolecular distributions in tissues, it is important to detect low amounts of biological molecules from a particular area of tissue. Rat braintissue samples were measured with ToF-SIMS (J105, Ionoptika, Ltd., Chandlers Ford, UK), using a continuous beam of Ar clusters as a primary ion source. ToF-SIMS with Ar clusters efficiently detects secondary ions related to biomolecules and larger molecules. Molecules detected by ToF-SIMS were examined by analyzing ToF-SIMS data using multivariate analysis. Microspheres (45 μm diameter) were injected into the rat unilateral internal carotid artery (MS rat) to cause cerebral microinfarction. The rat brain was sliced and then measured with ToF-SIMS. The brain samples of a normal rat and the MS rat were examined to find specific secondary ions related to important biomolecules, and then the difference between them was investigated. Finally, specific secondary ions were found around vessels incorporating microspheres in the MS rat. The results suggest that important biomolecules related to cerebral microinfarction can be detected by ToF-SIMS.

Topics
  • impedance spectroscopy
  • cluster
  • spectrometry
  • selective ion monitoring
  • secondary ion mass spectrometry