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dc.creatorGrein, S
dc.creatorQi, G
dc.creatorQueisser, G
dc.date.accessioned2020-12-15T20:36:03Z
dc.date.available2020-12-15T20:36:03Z
dc.date.issued2020-06-26
dc.identifier.issn1662-5188
dc.identifier.issn1662-5188
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/4455
dc.identifier.otherMQ2ET (isidoc)
dc.identifier.other32676020 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/4473
dc.description.abstract© Copyright © 2020 Grein, Qi and Queisser. Neuron classification is an important component in analyzing network structure and quantifying the effect of neuron topology on signal processing. Current quantification and classification approaches rely on morphology projection onto lower-dimensional spaces. In this paper a 3D visualization and quantification tool is presented. The Density Visualization Pipeline (DVP) computes, visualizes and quantifies the density distribution, i.e., the “mass” of interneurons. We use the DVP to characterize and classify a set of GABAergic interneurons. Classification of GABAergic interneurons is of crucial importance to understand on the one hand their various functions and on the other hand their ubiquitous appearance in the neocortex. 3D density map visualization and projection to the one-dimensional x, y, z subspaces show a clear distinction between the studied cells, based on these metrics. The DVP can be coupled to computational studies of the behavior of neurons and networks, in which network topology information is derived from DVP information. The DVP reads common neuromorphological file formats, e.g., Neurolucida XML files, NeuroMorpho.org SWC files and plain ASCII files. Full 3D visualization and projections of the density to 1D and 2D manifolds are supported by the DVP. All routines are embedded within the visual programming IDE VRL-Studio for Java which allows the definition and rapid modification of analysis workflows.
dc.format.extent42-
dc.language.isoeng
dc.relation.haspartFrontiers in Computational Neuroscience
dc.relation.isreferencedbyFrontiers Media SA
dc.rightsCC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGABAergic
dc.subjectbarrel cortex
dc.subjectdensity visualization
dc.subjectvisual programming
dc.subjectneuronal morphology
dc.subjectsynaptogenesis
dc.subjectdensity maps
dc.subjectinteractive data analysis
dc.titleDensity Visualization Pipeline: A Tool for Cellular and Network Density Visualization and Analysis
dc.typeArticle
dc.type.genreJournal Article
dc.relation.doi10.3389/fncom.2020.00042
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.date.updated2020-12-15T20:35:59Z
refterms.dateFOA2020-12-15T20:36:03Z


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