Visual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Research

Simple item page
dc.contributor.authorSwoboda, Nicolasen_US
dc.contributor.authorMoosburner, Judithen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.authorYu, Jai Y.en_US
dc.contributor.authorDickson, Barry J.en_US
dc.contributor.authorBühler, Katjaen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:37:03Z
dc.date.available2014-12-16T07:37:03Z
dc.date.issued2014en_US
dc.description.abstractNeuroscientists investigate neural circuits in the brain of the common fruit fly Drosophila melanogaster to discover how complex behavior is generated. Hypothesis building on potential connections between individual neurons is an essential step in the discovery of circuits that govern a specific behavior. Overlaps of arborizations of two or more neurons indicate a potential anatomical connection, i.e. the presence of joint synapses responsible for signal transmission between neurons. Obviously, the number of higher order overlaps (i.e. overlaps of three and more arborizations) increases exponentially with the number of neurons under investigation making it almost impossible to precompute quantitative information for all possible combinations. Thus, existing solutions are restricted to pairwise comparison of overlaps as they are relying on precomputed overlap quantification. Analyzing overlaps by visual inspection of more than two arborizations in 2D sections or in 3D is impeded by visual clutter or occlusion. This work contributes a novel tool that complements existing methods for potential connectivity exploration by providing for the first time the possibility to compute and visualize higher order arborization overlaps on the fly and to interactively explore this information in its spatial anatomical context and on a quantitative level. Qualitative evaluation with neuroscientists and non-expert users demonstrated the utility and usability of the tool.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20141189en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vcbm.20141189.107-116
dc.publisherThe Eurographics Associationen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectBiology and geneticsen_US
dc.subjecten_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.titleVisual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Researchen_US
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
107-116.pdf
Size:
5.1 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
supplemental_material_design-and-implementation.pdf
Size:
3.81 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
supplemental_material_interaction.mp4
Size:
9.71 MB
Format:
Unknown data format
Download
Collections
VCBM 14: Eurographics Workshop on Visual Computing for Biology and Medicine