Visualization 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.
|Original language||English (US)|
|Title of host publication||VCBM 2016 - Eurographics Workshop on Visual Computing for Biology and Medicine|
|Number of pages||10|
|State||Published - 2016|
|Event||2016 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2016 - Bergen, Norway|
Duration: Sep 7 2016 → Sep 9 2016
|Name||VCBM 2016 - Eurographics Workshop on Visual Computing for Biology and Medicine|
|Conference||2016 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2016|
|Period||09/7/16 → 09/9/16|
Bibliographical noteFunding Information:
The first two authors contributed equally. This project has been funded by the Vienna Science and Technology Fund (WWTF) through project VRG11-010 and supported by EC Marie Curie Career Integration Grant through project PCIG13-GA-2013-618680 and the Austrian Science Fund FWF trough project T 752-N30.
© 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Biomedical Engineering