Image registration and visualization of in situ gene expression images.

Image registration;Gene expression images;In-situ hybridization

Ernur Saka

University:University of Louisville

Department:Computer Engineering and Computer Science

关键词: Image registration;    Gene expression images;    In-situ hybridization;   

Others  :  https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=2248&context=etd

美国|英语

来源: The Universite of Louisville's Institutional Repository

【 摘 要 】

In the age of high-throughput molecular biology techniques, scientists have incorporated the methodology of in-situ hybridization to map spatial patterns of gene expression. In order to compare expression patterns within a common tissue structure, these images need to be "registered" or organized into a common coordinate system for alignment to a reference or atlas images. We use three different image registration methodologies (manual; correlation based; mutual information based) to determine the common coordinate system for the reference and in-situ hybridization images. All three methodologies are incorporated into a Matlab tool to visualize the results in a user friendly way and save them for future work. Our results suggest that the user-defined landmark method is best when considering images from different modalities; automated landmark detection is best when the images are expected to have a high degree of consistency; and the mutual information methodology is useful when the images are from the same modality.