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Image Based Modeling | Visualization | Simulation | Estimation Visualization The NIH-NSF Visualization Research Challenges report notes that one of the greatest scientific challenges of the 21st Century is to effectively understand and use the vast amounts of information being produced. In the past three decades, computational and acquisition technologies experienced unprecedented growth. This growth improved our ability to sense the physical world in precise detail and to model and simulate complex physical phenomenon.
As a field, visualization focuses on creating images that convey salient information about underlying data and processes. Visualization is crucial to our ability to comprehend such large and complex data. This data, in two, three, or more dimensions, conveys insight into diverse biomedical applications, from understanding the bioelectric currents in the heart to understanding morphology difference between different genetic mice phenotypes. The Visualization Research Core provides cutting-edge visualization research and software to biomedical scientists, helping researchers gain insight into measured or simulated data. The Visualization technology core develops and implements advanced high-performance algorithms and software for visualizing large, spatially distributed and/or time varying sets. The applications developed at the Center, such as ImageVis3D, place powerful visualization capabilities into the hands of biomedical researchers. These applications allow researchers to interactively explore and gain insight from large-scale image, experimental, and simulation data, all with the potential to revolutionize biology and medicine. |
