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Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways

K Panser, L Tirian, F Schulze, S Villalba, View ORCID ProfileGSXE Jefferis, View ORCID ProfileKatja Bühler, View ORCID ProfileAD Straw
doi: https://doi.org/10.1101/032292
K Panser
1Research Institute of Molecular Pathology (IMP), Vienna Bio-Center
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L Tirian
1Research Institute of Molecular Pathology (IMP), Vienna Bio-Center
2Current Address: Institute of Molecular Biotechnology Austria (IMBA), Vienna Bio-Center
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F Schulze
3VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH
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S Villalba
1Research Institute of Molecular Pathology (IMP), Vienna Bio-Center
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GSXE Jefferis
4Division of Neurobiology, MRC Laboratory of Molecular Biology
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Katja Bühler
3VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH
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AD Straw
1Research Institute of Molecular Pathology (IMP), Vienna Bio-Center
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  • ORCID record for AD Straw
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Abstract

We made use of two recent, large-scale Drosophila GAL4 libraries and associated confocal imaging datasets to automatically segment large brain regions into smaller putative functional units such as neuropils and fiber tracts. The method we developed is based on the hypothesis that molecular identity can be used to assign individual voxels to biologically meaningful regions. Our results (available at https://strawlab.org/braincode) are consistent with this hypothesis because regions with well-known anatomy, namely the antennal lobes and central complex, were automatically segmented into familiar compartments. We then applied the algorithm to the central brain regions receiving input from the optic lobes. Based on the automated segmentation and manual validation, we can identify and provide promising driver lines for 10 previously identified and 14 novel types of visual projection neurons and their associated optic glomeruli. The same strategy can be used in other brain regions and likely other species, including vertebrates.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted November 29, 2015.
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Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways
K Panser, L Tirian, F Schulze, S Villalba, GSXE Jefferis, Katja Bühler, AD Straw
bioRxiv 032292; doi: https://doi.org/10.1101/032292
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Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways
K Panser, L Tirian, F Schulze, S Villalba, GSXE Jefferis, Katja Bühler, AD Straw
bioRxiv 032292; doi: https://doi.org/10.1101/032292

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