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Dive into the research topics where Stefan L. Luxembourg is active.

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Featured researches published by Stefan L. Luxembourg.


Nature Protocols | 2007

Imaging mass spectrometry at cellular length scales

A. F. Maarten Altelaar; Stefan L. Luxembourg; Liam A. McDonnell; Sander R. Piersma; Ron M. A. Heeren

Imaging mass spectrometry (IMS) allows the direct investigation of both the identity and the spatial distribution of the molecular content directly in tissue sections, single cells and many other biological surfaces. In this protocol, we present the steps required to retrieve the molecular information from tissue sections using matrix-enhanced (ME) and metal-assisted (MetA) secondary ion mass spectrometry (SIMS) as well as matrix-assisted laser desorption/ionization (MALDI) IMS. These techniques require specific sample preparation steps directed at optimal signal intensity with minimal redistribution or modification of the sample analytes. After careful sample preparation, different IMS methods offer a unique discovery tool in, for example, the investigation of (i) drug transport and uptake, (ii) biological processing steps and (iii) biomarker distributions. To extract the relevant information from the huge datasets produced by IMS, new bioinformatics approaches have been developed. The duration of the protocol is highly dependent on sample size and technique used, but on average takes approximately 5 h.


Review of Scientific Instruments | 2007

Tools and strategies for visualization of large image data sets in high-resolution imaging mass spectrometry

Ivo Klinkert; Liam A. McDonnell; Stefan L. Luxembourg; A. F. Maarten Altelaar; Erika R. Amstalden; Sander R. Piersma; Ron M. A. Heeren

Mass spectrometry based proteomics is one of the scientific domains in which experiments produce a large amount of data that need special environments to interpret the results. Without the use of suitable tools and strategies, the transformation of the large data sets into information is not easily achievable. Therefore, in the context of the virtual laboratory of enhanced science, software tools are developed to handle mass spectrometry data sets. Using different data processing strategies for visualization, it enables fast mass spectrometric imaging of large surfaces at high-spatial resolution and thus aids in the understanding of various diseases and disorders. This article describes how to optimize the handling and processing of the data sets, including the selection of the most optimal data formats and the use of parallel processing. It also describes the tools and solutions and their application in mass spectrometric imaging strategies, including new measurement principles, image enhancement, and image artifact suppression.


European Journal of Mass Spectrometry | 2010

Imaging mass spectrometry using a delay-line detector

Martin Froesch; Stefan L. Luxembourg; Duncan Verheijde; Ron M. A. Heeren

Microscope mode mass spectrometric imaging is crucially dependent on the availability of a high-resolution, position-resolved time-of-flight detector. Here, a new detection method for microscope mode imaging mass spectrometry is presented. A delay-line detector has been used for the first time as a position-sensitive detector in imaging mass spectrometry. The method is implemented on a matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF), as well as a secondary ion mass spectrometry time-of-flight (SIMS-ToF) instrument. Trypsinogen and bovine serum albumin samples have been used with a metal mask to determine the spatial resolution of the new detector using the MALDI-ToF instrument. The new detector set-up was successfully employed to generate mass resolved SIMS images from biological structures on the surface of thin tissue sections. The biological samples studied were taken from tumor grown from xenografted breast cancer cell lines and chicken embryonal sections.


Microscopy and Microanalysis | 2006

High Resolution Mass Spectrometric Imaging of Cells and Tissue: MALDI and Surface Enhanced SIMS Put to Work

Ron M. A. Heeren; Stefan L. Luxembourg; Erika R. Amstalden; Af M Altelaar; Sander R. Piersma; Liam A. McDonnell

Molecular imaging techniques in the life sciences aim at the investigation of the relation between spatial organization and function of molecules in biological systems. The current rapid development of various mass spectrometric imaging technologies are a recognition of the power of mass spectrometry for biomolecular identification [1]. Mass spectrometry (MS) has transformed the way we look at macromolecular systems. Complex mixtures obtained from natural, biological or synthetic sources are now more or less routinely investigated with high resolution mass spectrometry. The unique specificity of mass spectrometry and its analytical sensitivity make it an ideal tool for the analysis of low-level biomolecules in complex multi-component mixtures. A biological surface like a tissue is a prime example of such a multi-component mixture. The rapid analysis of the local biomolecular composition with a high spatial resolution is one of the targets of biomolecular imaging MS.


Analytical Chemistry | 2004

High-spatial resolution mass spectrometric imaging of peptide and protein distributions on a surface.

Stefan L. Luxembourg; Todd H. Mize; Liam A. McDonnell; Ron M. A. Heeren


Journal of Mass Spectrometry | 2005

Subcellular imaging mass spectrometry of brain tissue

Liam A. McDonnell; Sander R. Piersma; A. F. Maarten Altelaar; Todd H. Mize; Stefan L. Luxembourg; Peter Verhaert; Jan van Minnen; Ron M. A. Heeren


Analytical Chemistry | 2003

Effect of local matrix crystal variations in matrix-assisted ionization techniques for mass spectrometry.

Stefan L. Luxembourg; Liam A. McDonnell; Marc C. Duursma; Xinghua Guo; Ron M. A. Heeren


Applied Surface Science | 2006

Why don't biologists use SIMS? A critical evaluation of imaging MS

Ron M. A. Heeren; Liam A. McDonnell; Erika R. Amstalden; Stefan L. Luxembourg; Af M Altelaar; Sander R. Piersma


Journal of Proteome Research | 2005

Infrared mass spectrometric imaging below the diffraction limit.

Stefan L. Luxembourg; Liam A. McDonnell; Todd H. Mize; Ron M. A. Heeren


Analytical Chemistry | 2003

Using matrix peaks to map topography: Increased mass resolution and enhanced sensitivity in chemical imaging

Liam A. McDonnell; Todd H. Mize; Stefan L. Luxembourg; Sander Koster; Gert B. Eijkel; Elisabeth Verpoorte; Nico F. de Rooij; Ron M. A. Heeren

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Liam A. McDonnell

Leiden University Medical Center

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Sander R. Piersma

VU University Medical Center

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Xinghua Guo

University of Amsterdam

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