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Loyek, Christian: BioIMAX : a Web2.0 approach to visual data mining in bioimage data. 2012
Inhalt
Introduction
Organization of the Thesis
Bioimaging
Multivariate Images
Multispectral imaging
Multifluorescence imaging
Multimodal imaging
Bioimage informatics
Data management
Image processing and analysis
Data visualization and interaction
Data sharing and scientific collaboration
Summary
State-of-the-art in bioimage informatics
General purpose analysis
Single purpose analysis
CellProfiler and CellProfiler Analyst
VANO
CATMAID
Analysis platforms
Open Microscopy Environment
Bisque
Discussion
Motivation and goal of this thesis
Requirements
User management
Project management
Analysis data management
Rights/privilege management
MVI data exploration and analysis
Collaboration
Platform usability
Architecture
Database design
Analysis data
Meta data
View concept
System design
A Short history of the Web
Science2.0
RIA frameworks
BioIMAX architecture
Summary
Implementation and Methods
Start working with BioIMAX
Importing MVI data
Sharing data via projects
Querying the database (Data Browser)
Image Viewer (Preview)
Semantic Image Annotation (Labeler)
Low-level semantic image annotation
High-level semantic image annotation
Exploratory Data Analysis (VIStoolBox)
Image comparison
Image Manipulation
Co-Fluorescence analysis
Visualization
Datamining tools
Frequent Itemset Mining (FIST)
Image Clustering (TICAL/WHIDE)
Application Examples
Studying Bacterial Invasion in High-Content Screening Images
Collaborative Analysis of Ion Mobility Spectrometry Data
Collaborative evaluation of epilepsy-causing brain lesions using MRI
Discussion
Bioimage Data Analysis
Collaboration
Architecture
Summary
Conclusion and Outlook
Perspectives
Bibliography