Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry

International Conferences MDA 2006/2007, Leipzig, Germany, July 18, 2007. Selected Papers

  • Editors
  • Petra Perner
  • Ovidio Salvetti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4826)

Table of contents

  1. Front Matter
  2. Christoph Sklarczyk, Horst Perner, Hans Rieder, Walter Arnold, Petra Perner
    Pages 1-14
  3. Giuliana Ramella, Gabriella Sanniti di Baja
    Pages 27-36
  4. Siwei Yang, Sandra Götze, Julio Mateos-Langerak, Roel van Driel, Roland Eils, Karl Rohr
    Pages 37-46
  5. Da-Chuan Cheng, Xiaoyi Jiang, Arno Schmidt-Trucksäss
    Pages 47-57
  6. Suzanne Little, Ovidio Salvetti, Petra Perner
    Pages 69-79
  7. Daniela Rende, Wilhelm F. Maier, Kerstin Schwarz, Ute Rabe, Walter Arnold
    Pages 80-83
  8. Maria Frucci, Gabriella Sanniti di Baja
    Pages 94-103
  9. Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats Nilsson, Ewert Bengtsson
    Pages 104-114
  10. Sara Colantonio, Igor Gurevich, Ovidio Salvetti
    Pages 115-127
  11. Primo Coltelli, Mauro Evangelisti, Valtere Evangelista, Paolo Gualtieri
    Pages 128-135
  12. Davide Moroni, Petra Perner, Ovidio Salvetti
    Pages 136-145
  13. Back Matter

About these proceedings

Introduction

The automatic analysis of images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers, and other sensors have found their way into wide fields of medicine, biotechnology, economy, and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology and Chemistry MDA (www.mda-signals.de) is to bring together researchers, practitioners, and industry people who are dealing with mass analysis of images and signals to present and discuss recent research in these fields. The goals of this workshop are to: Provide a forum for identifying important contributions and opportunities for research on mass data analysis on microscopic images Promote the systematic study of how to apply automatic image analysis and interpretation procedures to that field Show case applications of mass data analysis in biology, medicine, and chemistry Topics of interest include (but are not limited to): Techniques and developments of signal and image producing procedures Object matching and object tracking in microscopic and video microscopic images 1D, 2D, and 3D shape analysis and description

Keywords

3D algorithms cell image analysis crystallography data mining image acquisition image analysis image segmentation mass data analysis object matching object tracking proteomics semantic tagging

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-76300-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-76299-7
  • Online ISBN 978-3-540-76300-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book