Magdeburg, Germany, MelTec GmbH, a topological and functional proteomics company, today announced the publication of a scientific study in the June 5, 2001 issue of the journal IEEE Transactions, in the Technology in Biomedicine section, describing its Neuronal Cell Detection System (NCDS) for the monitoring of fluorescent lymphocytes in human tissue section.
MelTecs robotic imaging technology reads protein networks in the context of whole cells, thereby analyzing how protein networks encode cellular functions and the identification of cellular subtypes, while providing an image of protein locations in the cell, or the cells protein topology.
The paper entitled A Neural Classifier Enabling High-Throughput Topological Analysis of Lymphocytes in Tissue Section, is co-authored by Tim Nattkemper, Ph.D., Helge Ritter, Ph.D., both from the Neuroinformatics Group at the University of Bielefeld, and Walter Schubert, M.D., MelTecs CEO.
The article describes that by using MelTecs NCDS algorithm, the biomathematical basis of its proprietary technology MELK (Multi-Epitope-Ligand-Kartographie), the researchers were able to automatically monitor in tissue sections the number of fluorescent marked migratory cells, the positions of these cells and the phenotype of these cells, thus identifying and localizing particular subsets of cells, e.g. identifying through unique protein networks the individual immune-cells that invade a tissue or organ.
The NCDS system enabled researchers to conduct high-throughput, reproducible and valid statistical analysis of protein networks involved in disease pathways. To learn about cellular function and mechanisms, the groups of proteins that define a particular cellular fingerprint reflecting topological information, were considered, rather than just looking at individual proteins and their molecular information.
The NCDS provides a unique tool for analyzing proteomic information that was not available befor
Contact: Melissa Wainberg