Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models.

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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

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.

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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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Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models.

Note: Research in this publication was not performed at Janelia.

Abstract