@inbook{PB-VRVis-2017-002,
author = {M{\"u}nzing, Sascha E. A. and Thum, Andreas S. and B{\"u}hler, Katja and Merhof, Dorit},
title = {Evaluation of Multi-Channel Image Registration in Microscopy},
year = {2017},
booktitle = {Bildverarbeitung f{\"u}r die Medizin:  Algorithmen - Systeme - Anwendungen.  Proceedings des Workshops vom 12. bis 14. M{\"a}rz 2017 in  Heidelberg},
doi = {https://doi.org/10.1007/978-3-662-54345-0_67},
editor = {Maier-Hein, geb. Fritzsche, Klaus Hermann
  and Deserno, geb. Lehmann, Thomas Martin and Handels, Heinz
  and Tolxdorff, Thomas},
url = {https://www.vrvis.at/publications/PB-VRVis-2017-002},
publisher = {Springer Berlin Heidelberg},
pages = {299-304},
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.},
}