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janelia7_blocks-janelia7_biblio_header | block
Neuroinformatics 2008. 2008 Sep 07;. doi: 10.3389/conf.neuro.11.2008.01.064
Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models. Kainmueller Lab
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Singer J, Lienhard M, Seim H, Kainmueller D, Kuss A, Lamecker H, Zachow S, Menzel R, Rybak J
Note: Research in this publication was not performed at Janelia.
janelia7_blocks-janelia7_biblio_abstract | block
Abstract
The Honeybee Brain Atlas serves as 3D database and communicative platform to accumulate structural data, i.e. reconstructed neurons, derived from confocal scans (Brandt et al., 2005) (www.neurobiologie.fu-berlin.de/beebrain/) (1). Transforming neurons into the atlas requires manual segmentation of neuropils within confocal images, a time-consuming task requiring expertise in identifying biological structures which can result in different outcomes from various segmenters.
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janelia7_blocks-janelia7_biblio_tools | block