| 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
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article
Peak picking as a pre-processing technique for imaging time of flight secondary ion mass spectrometry
Abstract
High surface sensitivity and lateral resolution imaging make time-of-flight secondary ion mass spectrometry (ToF-SIMS) a unique and powerful tool for biological analysis. However, with the leaps forward made in the capabilities of the ToF-SIMS instrumentation, the data being recorded from these instruments has dramatically increased. Unfortunately, with these large, often complex, datasets, a bottleneck appears in their processing and interpretation. Here, an application of peak picking is described and applied to ToF-SIMS images allowing for large compression of data, noise removal and improved contrast, while retaining a high percentage of the original signal. Peak picking is performed to locate peaks within ToF-SIMS data. By using this information, signal arising from the same distribution can be summed and overlapping signals separated. As a result, the data size and complexity can be dramatically reduced. This method also acts as an effective noise filter, discarding unwanted noise from the data set. Peak picking and separation are evaluated against the conventional methods of mass binning and manually selecting regions of a peak to image on a model data set.