Exploring Defects in Nematic Liquid Crystals.

摘要: Visualization of temporal and spatial tensor data is a challenging task due to the large amount multi-dimensional data. In most visualization, scientists are interested in finding certain defects, anomalies, or correlations while exploring Hence, visualization requires efficient exploration representation techniques. order use nematic liquid crystal (NLC) as biosensor, need study explore simulations for understanding relationship between topological defects biological specimen. To solve above problem, we merge scientific information techniques create controlled environment. System enables user filter NLC sets orientation defects. We introduce three level approach using timeline, parallel coordinate, glyph based visualization. helps reducing unnecessary at each stage focus on relevant ones. This abstract discusses goal, various research issues found design system.