Evaluation of multi-channel image registration in microscopy

Muenzing SE, Thum AS, Bühler K, Merhof D (2017)

Publication Type: Conference contribution

Publication year: 2017

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Kluwer Academic Publishers

Pages Range: 299-304

Conference Proceedings Title: Informatik aktuell

Event location: Heidelberg, DEU

ISBN: 9783662543443

DOI: 10.1007/978-3-662-54345-0_67

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.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Universität Konstanz DE Germany (DE) VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH AT Austria (AT)

How to cite

APA:

Muenzing, S.E., Thum, A.S., Bühler, K., & Merhof, D. (2017). Evaluation of multi-channel image registration in microscopy. In Klaus Hermann Maier-Hein, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 299-304). Heidelberg, DEU: Kluwer Academic Publishers.

MLA:

Muenzing, Sascha E.A., et al. "Evaluation of multi-channel image registration in microscopy." Proceedings of the Workshops on Image processing for the medicine, 2017, Heidelberg, DEU Ed. Klaus Hermann Maier-Hein, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff, Kluwer Academic Publishers, 2017. 299-304.

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