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Raf Van de Plas

Researcher at Delft University of Technology

Publications -  47
Citations -  2005

Raf Van de Plas is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Mass spectrometry imaging & Mass spectrometry. The author has an hindex of 19, co-authored 38 publications receiving 1396 citations. Previous affiliations of Raf Van de Plas include Katholieke Universiteit Leuven & Vanderbilt University.

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The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

Michael Snyder, +133 more
- 09 Oct 2019 - 
TL;DR: The NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping.
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A tutorial on support vector machine-based methods for classification problems in chemometrics.

TL;DR: This tutorial provides a concise overview of support vector machines and different closely related techniques for pattern classification, illustrated on three real-life applications in the field of metabolomics, genetics and proteomics.
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Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping

TL;DR: The potential of image fusion is demonstrated through 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more, and prediction of ion distributions in tissue areas that were not measured by IMS.
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High-Performance Molecular Imaging with MALDI Trapped Ion-Mobility Time-of-Flight (timsTOF) Mass Spectrometry.

TL;DR: It is shown that the MALDI timsTOF platform can maintain reasonable data acquisition rates while providing the specificity necessary to differentiate components in complex mixtures of lipid adducts, and provides a uniquely tunable platform to address many challenges associated with advanced molecular imaging applications.