Automated high-throughput registration for localizing 3D mouse brain gene expression using ITK
Allen Insitute for Brain Science
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/15 |
Published in The Insight Journal - 2005 MICCAI Open-Source Workshop.
Submitted by Lydia Ng on 07-29-2005.
The Allen Brain Atlas (ABA) project aims to create a
cellular-resolution, genome-wide map of gene expression in the adult
mouse brain. The resulting in situ hybridization (ISH) image data
will be available free-of-charge to the public. Additionally, we are
developing an informatics pipeline to support searching of the data by
anatomic region and expression level and/or pattern. This paper
describes a robust, high-throughput registration scheme to
automatically annotate hierarchical brain structures in the ISH
imagery.
cellular-resolution, genome-wide map of gene expression in the adult
mouse brain. The resulting in situ hybridization (ISH) image data
will be available free-of-charge to the public. Additionally, we are
developing an informatics pipeline to support searching of the data by
anatomic region and expression level and/or pattern. This paper
describes a robust, high-throughput registration scheme to
automatically annotate hierarchical brain structures in the ISH
imagery.
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| Keywords: | Image Registration, Mouse Gene Expression, High-throughput Processing, |
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| An ITK Implementation of the Symmetric Log-Domain Diffeomorphic Demons Algorithm | ||
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