@INPROCEEDINGS {Swoboda-2014-VQA,
author = "Nicolas Swoboda and Judith Moosburner and Stefan Bruckner and Jai Y. Yu and Barry J. Dickson and Katja B{\"u}hler",
title = "Visual and Quantitative Analysis of Higher Order Arborization Overlaps for Neural Circuit Research",
booktitle = "Proceedings of VCBM 2014",
year = "2014",
pages = "107--116",
month = "sep",
abstract = "Neuroscientists 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.",
pdf = "pdfs/Swoboda-2014-VQA.pdf",
images = "images/Swoboda-2014-VQA.jpg",
thumbnails = "images/Swoboda-2014-VQA.png",
youtube = "https://www.youtube.com/watch?v=iW2iVppPnsE",
note = "VCBM 2014 Best Paper Honorable Mention",
doi = "10.2312/vcbm.20141189",
event = "VCBM 2014",
keywords = "visual analysis, neurobiology",
location = "Vienna, Austria"
}