Show simple item record

dc.contributor.authorWaldin, Nicholasen_US
dc.contributor.authorMuzic, Mathieu Leen_US
dc.contributor.authorWaldner, Manuelaen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.authorGoodsell, Daviden_US
dc.contributor.authorLudovic, Autinen_US
dc.contributor.authorViola, Ivanen_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:19Z
dc.date.available2016-09-07T05:37:19Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20161266
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161266
dc.description.abstractVisualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In multiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures, macromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However, currently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel technology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently best visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The changes of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one. With such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown on any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well received.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectVisualization [Human
dc.subjectcentered computing]
dc.subjectVisualization application domains
dc.subjectScientific visualization
dc.titleChameleon - Dynamic Color Mapping for Multi-Scale Structural Biology Modelsen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersVisual Exploration and Analysis of Biological Data
dc.identifier.doi10.2312/vcbm.20161266
dc.identifier.pages11-20


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record