Poster: Image registration and visualization tool for in-situ gene expression images

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 image. In this work we present 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.