Fully Automatic Quantification of Microarray Image Data

Fully Automatic Image-based Registration of Unorganized Tls Data

The estimation of the transformation parameters between different point clouds is still a crucial task as it is usually followed by scene reconstruction, object detection or object recognition. Therefore, the estimates should be as accurate as possible. Recent developments show that it is feasible to utilize both the measured range information and the reflectance information sampled as image, a...

Robust automatic microarray image analysis

Microarray hybridisation experiments are used to measure concentrations of many different nucleic acid sequences in biological samples in parallel. One of the most important applications is gene expression analysis which can give insight into an organisms metabolism and its regulation. In brief, a microarray gene expression experiment works as follows: DNA sequences relevant to the biological q...

cDNA Microarray Data Normalization

GridWeaver : A Fully-Automatic System for Microarray Image Analysis using Fast Fourier Transforms

Motivation: Experiments using microarray technology generate large amounts of image data that are used in the analysis of genetic function. An important stage in the analysis is the determination of relative intensities of spots on the images generated. Results: This paper presents GridWeaver, a program that reads in images from a microarray experiment, automatically locates subgrids and spots ...

Towards Fully Automatic Image Segmentation Evaluation

Spatial region (image) segmentation is a fundamental step for many computer vision applications. Although many methods have been proposed, less work has been done in developing suitable evaluation methodologies for comparing different approaches. The main problem of general purpose segmentation evaluation is the dilemma between objectivity and generality. Recently, figure ground segmentation ev...