Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures

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dc.contributor.authorTroidl, Jakoben_US
dc.contributor.authorCali, Corradoen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.authorPfister, Hanspeteren_US
dc.contributor.authorHadwiger, Markusen_US
dc.contributor.authorBeyer, Johannaen_US
dc.contributor.editorBorgo, Ritaen_US
dc.contributor.editorMarai, G. Elisabetaen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2022-06-03T06:05:59Z
dc.date.available2022-06-03T06:05:59Z
dc.date.issued2022
dc.description.abstractHigh-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.en_US
dc.description.number3
dc.description.sectionheadersLife Sciences and Urbanism
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume41
dc.identifier.doi10.1111/cgf.14532
dc.identifier.issn1467-8659
dc.identifier.pages183-194
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14532
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14532
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Human-Centered Computing --> Spatial neighborhood analysis, Visual comparisons, Neuroscience, Scientific visualization
dc.subjectHuman centered computing
dc.subjectSpatial neighborhood analysis
dc.subjectVisual comparisons
dc.subjectNeuroscience
dc.subjectScientific visualization
dc.titleBarrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structuresen_US
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