Automated high-throughput registration for localizing 3D mouse brain gene expression using ITK
Ng L., Hawrylycz M., Haynor D.
Allen Insitute for Brain Science

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/15
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.
Data
minus 2 Files (273Kb)

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download Package
Download Paper, View Paper

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Paper Quality: plus minus

Information more
backyellow
Keywords: Image Registration, Mouse Gene Expression, High-throughput Processing,
Export citation:

Share
backyellow
Share

Associated Publications
backyellow
An ITK Implementation of the Symmetric Log-Domain Diffeomorphic Demons Algorithm

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas