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dc.contributor.advisorHadwiger, Markus
dc.contributor.authorMohammed, Haneen
dc.date.accessioned2017-06-13T05:44:42Z
dc.date.available2017-06-13T05:44:42Z
dc.date.issued2017-06-12
dc.identifier.doi10.25781/KAUST-4OP2L
dc.identifier.urihttp://hdl.handle.net/10754/624967
dc.description.abstractThis thesis presents the design and implementation of Abstractocyte, a system for the visual analysis of astrocytes, and their relation to neurons, in nanoscale volumes of brain tissue. Astrocytes are glial cells, i.e., non-neuronal cells that support neurons and the nervous system. Even though glial cells make up around 50 percent of all cells in the mammalian brain, so far they have been far less studied than neurons. Nevertheless, the study of astrocytes has immense potential for understanding brain function. However, the complex and widely-branching structure of astrocytes requires high-resolution electron microscopy imaging and makes visualization and analysis challenging. Using Abstractocyte, biologists can explore the morphology of astrocytes at various visual abstraction levels, while simultaneously analyzing neighboring neurons and their connectivity. We define a novel, conceptual 2D abstraction space for jointly visualizing astrocytes and neurons. Neuroscientists can choose a joint visualization as a specific point in that 2D abstraction space. Dragging this point allows them to smoothly transition between different abstraction levels in an intuitive manner. We describe the design of Abstractocyte, and present three case studies in which neuroscientists have successfully used our system to assess astrocytic coverage of synapses, glycogen distribution in relation to synapses, and astrocytic-mitochondria coverage.
dc.language.isoen
dc.subjectbiomedical
dc.subjectvisualization
dc.subjectvisual design
dc.subjectabstraction techniques
dc.titleAbstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberGao, Xin
dc.contributor.committeememberRavasi, Timothy
dc.contributor.committeememberCali, Corrado
thesis.degree.disciplineComputer Science
thesis.degree.nameMaster of Science
refterms.dateFOA2018-06-14T08:26:41Z


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