Atlas Toolkit: Fast registration of 3D morphological datasets in the absence of landmarks

Grocott, Timothy ORCID: https://orcid.org/0000-0002-6321-401X, Thomas, Paul and Munsterberg, Andrea ORCID: https://orcid.org/0000-0002-4577-4240 (2016) Atlas Toolkit: Fast registration of 3D morphological datasets in the absence of landmarks. Scientific Reports, 6. ISSN 2045-2322

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Abstract

Image registration is a gateway technology for Developmental Systems Biology, enabling computational analysis of related datasets within a shared coordinate system. Many registration tools rely on landmarks to ensure that datasets are correctly aligned; yet suitable landmarks are not present in many datasets. Atlas Toolkit is a Fiji/ImageJ plugin collection offering elastic group-wise registration of 3D morphological datasets, guided by segmentation of the interesting morphology. We demonstrate the method by combinatorial mapping of cell signalling events in the developing eyes of chick embryos, and use the integrated datasets to predictively enumerate Gene Regulatory Network states.

Item Type:	Article
Additional Information:	This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Faculty \ School:	Faculty of Science > School of Biological Sciences Faculty of Science
UEA Research Groups:	Faculty of Science > Research Groups > Cells and Tissues
Depositing User:	Pure Connector
Date Deposited:	17 Feb 2016 16:00
Last Modified:	19 Apr 2023 23:48
URI:	https://ueaeprints.uea.ac.uk/id/eprint/57151
DOI:	10.1038/srep20732

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