Evaluation of Multi-Channel Image Registration in Microscopy

Abstract

Drosophila melanogaster, commonly known as fruit fly, is an important genetic model organism for fundamental neuroscience research. The central nervous system of the larva consists of about 12,000 neurons. For efficient information retrieval and automated data mining, each patterns needs to be mapped onto a common reference space. Accurate image registration plays a key role here. We investigate standard and multi-channel image registration approaches. Our evaluation shows that multi-channel registration is beneficial in cases where the staining quality is partially compromised and can be complemented by the information contained in an additional reference channel.