BrainAligner: 3D registration atlases of Drosophila brains View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-06

AUTHORS

Hanchuan Peng, Phuong Chung, Fuhui Long, Lei Qu, Arnim Jenett, Andrew M Seeds, Eugene W Myers, Julie H Simpson

ABSTRACT

Analyzing Drosophila melanogaster neural expression patterns in thousands of three-dimensional image stacks of individual brains requires registering them into a canonical framework based on a fiducial reference of neuropil morphology. Given a target brain labeled with predefined landmarks, the BrainAligner program automatically finds the corresponding landmarks in a subject brain and maps it to the coordinate system of the target brain via a deformable warp. Using a neuropil marker (the antibody nc82) as a reference of the brain morphology and a target brain that is itself a statistical average of data for 295 brains, we achieved a registration accuracy of 2 μm on average, permitting assessment of stereotypy, potential connectivity and functional mapping of the adult fruit fly brain. We used BrainAligner to generate an image pattern atlas of 2954 registered brains containing 470 different expression patterns that cover all the major compartments of the fly brain. More... »

PAGES

493

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1602

DOI

http://dx.doi.org/10.1038/nmeth.1602

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002019298

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21532582


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