| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Henderson, Alex
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 techniquecitations
- 2016Evaluation of biomolecular distributions in rat brain tissues by means of ToF-SIMS using a continuous beam of Ar clusterscitations
- 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?citations
- 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?citations
- 2013Time-of-flight SIMS as a novel approach to unlocking the hypoxic properties of cancercitations
- 2013Peptide structural analysis using continuous Ar cluster and C60 ion beamscitations
- 2013Peptide structural analysis using continuous Ar cluster and C60 ion beamscitations
- 2013Peak picking as a pre-processing technique for imaging time of flight secondary ion mass spectrometrycitations
- 2013ToF-SIMS as a tool for metabolic profiling small biomolecules in cancer systemscitations
- 2012Peak picking as a pre-processing technique for imaging time of flight secondary ion mass spectrometry
- 2011Interactive spatio-spectral analysis of three-dimensional mass-spectral (3DxMS) chemical imagescitations
- 2011Three-dimensional mass spectral imaging of HeLa-M cells - Sample preparation, data interpretation and visualisationcitations
- 2009A comparison of PCA and MAF for ToF-SIMS image interpretationcitations
- 2008A new dynamic in mass spectral imaging of single biological cellscitations
- 2004ToF-SIMS studies of sulfuric acid hydrate filmscitations
Places of action
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article
Interactive spatio-spectral analysis of three-dimensional mass-spectral (3DxMS) chemical images
Abstract
Emerging technologies for chemical imaging provide high-resolution three-dimensional (3D) surveys with high-precision mass spectrometry (MS), promising to open unprecedented vistas for understanding complex phenomena such as cellular metabolism. However, there are critical challenges in transforming the large, complex, multidimensional, multispectral data sets into useful chemical information for biological research and other applications. This paper describes new informatics for advanced interactive spatio-spectral analysis of three-dimensional mass-spectral (3DxMS) chemical images. The technical challenges for interactive informatics are rapid access to large datasets, visualization of 3D hyperspectral images, and pattern recognition for spatio-spectral mapping. This paper describes an effective compression method for time-of-flight secondary ion mass spectrometry (ToF-SIMS) data that provides rapid spatial-spectral access; a framework for 3DxMS visualization that supports multiple views with multiple layers of information; and a suite of pattern recognition tools for spatio-spectral drawing, clustering, and classification. Copyright © 2010 John Wiley & Sons, Ltd.