Alexander Broersen

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The large size of the hyperspectral datasets that are produced with modern mass spectrometric imaging techniques makes it difficult to analyze he results. Unsupervised statistical techniques are needed to extract relevant information from these datasets and reduce the data into a surveyable verview. Multivariate statistics are commonly used for this(More)
High-resolution imaging mass spectrometry of large biological samples is the goal of several research groups. In mosaic imaging, the most common method, the large sample is divided into a mosaic of small areas that are then analyzed with high resolution. Here we present an automated alignment routine that uses principal component analysis to reduce the(More)
In this paper we compare the quality of three different principle component analysis (PCA) based methods to generate transfer functions for the 3D visualization of imaging spectroscopy data. We discuss three criteria for judging the quality of features in these visualizations. These criteria are used to interpret visualizations of features in the brain of(More)
In this paper we present a new application of the principal component analysis (PCA) to generate multidimensional transfer functions. These transfer functions are needed in the volumetric visualization of spectral data to isolate regions that contain interesting peak-shaped features. Both large and small peaks can be equally important and represent the(More)
An imaging mass spectrometer is an analytical instrument that can determine the spatial distribution of chemical compounds on complex surfaces. The output of the device is a multi-spectral datacube; a three-dimensional (3D) dataset in which the xy-dimension represents the surface position and the z-dimension represents the mass spectral distribution.(More)
Imaging spectroscopy can be used to scan the structure of chemical elements on the surface materials. Multiple threedimensional datasets are created that contain the chemical properties on each location of the scanned surface. A manual pixel-based registration method was used to align the data-cubes to create one large mosaic of data-cubes. In this paper,(More)
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