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
Author(s): Christoph Sklarczyk, Horst Perner (auth.), Petra Perner, Ovidio Salvetti (eds.)
Series: Lecture Notes in Computer Science 4826 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Language: English
Commentary: +OCR
Pages: 183
Tags: Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Computational Biology/Bioinformatics; Data Mining and Knowledge Discovery
Front Matter....Pages -
Image Acquisition and Analysis of Hazardous Biological Material in Air....Pages 1-14
Geo-Thresholding for Segmentation of Fluorescent Microscopic Cell Images....Pages 15-26
Image Segmentation by Non-topological Erosion and Topological Expansion....Pages 27-36
Variability Analysis of the Large-Scale Structure of Interphase Chromatin Fiber Based on Statistical Shape Theory....Pages 37-46
Image Segmentation Using Histogram Fitting and Spatial Information....Pages 47-57
Statistical Analysis of Microspectroscopy Signals for Algae Classification and Phylogenetic Comparison....Pages 58-68
Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells....Pages 69-79
Combinatorial Synthesis of Thin Mixed Oxide-Films and Examinations of Their Piezoelectricity by Ultrasonic Piezo-Mode Imaging....Pages 80-83
A Novel Image Feature for Nuclear-Phase Classification in High Content Screening....Pages 84-93
Object Detection in Watershed Partitioned Gray-Level Images....Pages 94-103
Finding Cells, Finding Molecules, Finding Patterns....Pages 104-114
Automatic Fuzzy-neural Based Segmentation of Microscopic Cell Images....Pages 115-127
Real-Time Measurement and Analysis of Translational and Rotational Speeds of Moving Objects in Microscope Fields....Pages 128-135
A General Approach to Shape Characterization for Biomedical Problems....Pages 136-145
Statistical Analysis of Electrophoresis Time Series for Improving Basecalling in DNA Sequencing....Pages 146-155
Semi-automated Mapping of Cell Nuclei in 3D-Stacks from Optical-Sectioning Microscopy....Pages 156-164
Statistical Analysis of Myocyte Orientations of the Left Ventricular Myocardium....Pages 165-175
Automatic Quality Control of Cereals in Particular Wheat-Subtask Detection of Hygiene-Relevant Parameters....Pages 176-182
Back Matter....Pages -
