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

1. Front Matter

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2. Image Acquisition and Analysis of Hazardous Biological Material in Air

   • Christoph Sklarczyk, Horst Perner, Hans Rieder, Walter Arnold, Petra Perner

   Pages 1-14

3. Geo-Thresholding for Segmentation of Fluorescent Microscopic Cell Images

   • Tuan D. Pham

   Pages 15-26

4. Image Segmentation by Non-topological Erosion and Topological Expansion

   • Giuliana Ramella, Gabriella Sanniti di Baja

   Pages 27-36

5. Variability Analysis of the Large-Scale Structure of Interphase Chromatin Fiber Based on Statistical Shape Theory

   • Siwei Yang, Sandra Götze, Julio Mateos-Langerak, Roel van Driel, Roland Eils, Karl Rohr

   Pages 37-46

6. Image Segmentation Using Histogram Fitting and Spatial Information

   • Da-Chuan Cheng, Xiaoyi Jiang, Arno Schmidt-Trucksäss

   Pages 47-57

7. Statistical Analysis of Microspectroscopy Signals for Algae Classification and Phylogenetic Comparison

   • Anna Tonazzini, Primo Coltelli, Paolo Gualtieri

   Pages 58-68

8. Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells

   • Suzanne Little, Ovidio Salvetti, Petra Perner

   Pages 69-79

9. Combinatorial Synthesis of Thin Mixed Oxide-Films and Examinations of Their Piezoelectricity by Ultrasonic Piezo-Mode Imaging

   • Daniela Rende, Wilhelm F. Maier, Kerstin Schwarz, Ute Rabe, Walter Arnold

   Pages 80-83

10. A Novel Image Feature for Nuclear-Phase Classification in High Content Screening

    • Tuan D. Pham, Xiaobo Zhou

    Pages 84-93

11. Object Detection in Watershed Partitioned Gray-Level Images

    • Maria Frucci, Gabriella Sanniti di Baja

    Pages 94-103

12. Finding Cells, Finding Molecules, Finding Patterns

    • Carolina Wählby, Patrick Karlsson, Sara Henriksson, Chatarina Larsson, Mats Nilsson, Ewert Bengtsson

    Pages 104-114

13. Automatic Fuzzy-neural Based Segmentation of Microscopic Cell Images

    • Sara Colantonio, Igor Gurevich, Ovidio Salvetti

    Pages 115-127

14. Real-Time Measurement and Analysis of Translational and Rotational Speeds of Moving Objects in Microscope Fields

    • Primo Coltelli, Mauro Evangelisti, Valtere Evangelista, Paolo Gualtieri

    Pages 128-135

15. A General Approach to Shape Characterization for Biomedical Problems

    • Davide Moroni, Petra Perner, Ovidio Salvetti

    Pages 136-145

16. Statistical Analysis of Electrophoresis Time Series for Improving Basecalling in DNA Sequencing

    • Anna Tonazzini, Luigi Bedini

    Pages 146-155

17. Semi-automated Mapping of Cell Nuclei in 3D-Stacks from Optical-Sectioning Microscopy

    • Martin Heß

    Pages 156-164

18. Statistical Analysis of Myocyte Orientations of the Left Ventricular Myocardium

    • Kai Rothaus, Xiaoyi Jiang

    Pages 165-175

19. Automatic Quality Control of Cereals in Particular Wheat-Subtask Detection of Hygiene-Relevant Parameters

    • Petra Perner, Thomas Günther

    Pages 176-182

20. Back Matter

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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

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

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