Automated high-throughput registration for localizing 3D mouse brain gene expression using ITK
Ng, Lydia, Hawrylycz, Michael, Haynor, David
Allen Institute for Brain Science
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/15
New: Prefer using the following doi: https://doi.org/10.54294/9nkczd
Published in The Insight Journal - 2005 MICCAI Open-Source Workshop.
Submitted by Lydia Ng on 2005-07-29T20:52:39Z.
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.
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