Waldin Nicholas, Le Muzic Mathieu, Waldner Manuela, Gröller Eduard, Goodsell David, Ludovic Autin, Viola Ivan
TU Wien.
TU Wien; VRVis.
Eurographics Workshop Vis Comput Biomed. 2016 Sep;2016. doi: 10.2312/vcbm.20161266.
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.
结构生物学数据的可视化利用颜色将密集结构分类或分离成特定的语义单元。在病毒或细菌的多尺度模型中,在最精细的细节层面上有原子,然后是氨基酸、二级结构、大分子,直至隔室层面,并且在所有这些层面上,元素都可以通过颜色在视觉上加以区分。然而,目前仅使用单一尺度的着色方案,这些方案仅显示一个特定尺度的信息。我们提出了一种新颖的技术,该技术基于当前尺度水平自适应地调整配色方案,以描绘或区分当前最清晰可见的结构信息。我们将颜色视为一种视觉资源,它会根据特定需求进行分配。配色方案的变化在前一视图的配色方案与给定的新配色方案之间进行无缝插值。通过这种动态多尺度颜色映射,我们确保观察者能够区分在任何给定尺度上显示的结构细节。该技术已经由具有结构生物学专业知识的用户进行了测试,总体上受到了好评。