Research news on visualization methods

Visualization methods are analytical techniques that transform numerical or categorical data into graphical representations to facilitate pattern recognition, hypothesis generation, and communication of complex structures. Methodologically, they encompass approaches such as scatter plots, heatmaps, dimensionality reduction projections (e.g., PCA, t-SNE, UMAP), networks, and spatial maps, each optimized for particular data types and relational structures. Key considerations include preserving relevant data distributions, scales, and topologies while minimizing distortions and cognitive overload. In research workflows, visualization methods are integral for exploratory data analysis, quality control, feature inspection, model diagnostics, and the interactive interrogation of high-dimensional datasets across disciplines such as bioinformatics, neuroscience, and systems science.

LimbLab: A tool to visualize embryonic development in 3D

Studying the shape of tissues and organs is critical to understanding how they are formed. Embryonic development happens in three dimensions, but many studies are limited by the use of two-dimensional approaches and images ...

Hollywood techniques help NASA visualize supercomputing data

Captivating images and videos can bring data to life. NASA's Scientific Visualization Studio (SVS) produces visualizations, animations, and images to help scientists tell stories of their research and make science more approachable ...