Katholieke Universiteit Leuven

Vanderbilt University

Katholieke Universiteit Leuven, Ku Leuven R&d

Etienne Waelkens

Bart De Moor

Raf Van De Plas

Richard Caprioli

Nico Verbeeck

The present invention relates generally to a species (analyte) separation and analysis system, for instance a spectrometry system, comprising a processor for receiving and processing signals from said its detector to remove undesirable variation or noise before further processing into a spectrum, whereby the processor is programmed by a novel program for a normalization preprocessing of the signals of said separation and analysis system.

Intensity normalization in imaging mass spectrometry

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and (2) demonstrating the potential of such an IMS-anatomical atlas link by applying it toward automated anatomical interpretation of ion distributions in tissue.

System for interpretation of image patterns in terms of anatomical or curated patterns

Growing community of inventors

Rotselaar, Belgium

Etienne Waelkens