Methods

This is a brief introduction to image analysis methods, what it is and what IMI uses it for. This explanation is mainly for people with little knowledge about image analysis but who have a basic medical background.

DATA CAPTURE

We use both frame capture (digital microscopy) and line capture (slide scanner). Specific methods are:

• Highthroughput serial optical sectioning in bright field microscopy.
• High-throughput slide scanning with the Nanozoomer.

As used in:

• Nucleotyping
• DNA Ploidy
• Tissue Micro Array

VISUALIZATION

Several different visualization software tools are developed and are in use for viewing microscope images, cell galleries, scans, and graphs. Specific methods are:

• Virtual microscopy 2.3-D reconstruction.

As used in *Nucleotyping

• DNA Ploidy
• Tissue Micro Array

FEATURE EXTRACTION

Methods for extracting geometric, densitometric, and texture features are in use. Specific methods are:

• GLEM (Grey Level Entropy Matrice) 2.Adaptive features

As used in

• Nucleotyping
• DNA Ploidy
• Tissue Micro Array

CLASSIFICATION

Tissue, cell, and nuclei classification are a crucial component in most of our image analysis projects. Specific methods in use (using our own software) are:

• Discriminant analysis
• Decision tree
• Neural networks

As used in

• Nucleotyping
• DNA Ploidy
• Tissue Micro Array

DATA ANALYSIS

Data from tissue, cell, and nuclei are analysed through application tools developed in-house, such as:

• Discriminant analysis
• Graph theory
• RUST (Research Utility Software Tool)

As used in

• Nucleotyping
• DNA Ploidy
• Tissue Micro Array

DATA FUSION

Data and images from different sources are combined, allowing results from one method or image source to be displayed or visualized onto images from other sources. The application developed for this purpose is the Micro Tracker.

As used in

• Nucleotyping
• DNA Ploidy
• Tissue Micro Array