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Interactive Visualization of Uncertain Data in a Mouse's Retinal Astrocyte Image

Interactive Visualization of Uncertain Data in a Mouse's Retinal Astrocyte Image

Team Members:

  • Rama Hoetzlein
  • Mock Suwannatat
  • Tobias Hollerer

Short Description:

A visualization system is designed to help biology researchers visually and interactively explore mouse’s astrocyte image data. Prior to visualization, some image processing, semi-manual and automatic analysis, and a spatial modeling have already been done. The results from each of these steps can be viewed independently. But to allow for a comprehensive understanding of the entire data pipeline and the relationship among the different pieces, this system is designed to visualize all the data in context. Goals and subgoals for data exploration tasks are explored, and various interactive visualization techniques are employed to address these goals. Examples of the techniques include focus-n-context visualization, graph diagram, animation, glyphs, and probability density function visualization.

CREDITS: Raw biological images were collected by Gabe Luna in Professor Steve Fisher's laboratory. Brian Ruttenburg computed cell segmentations and a Markov Random Field spatial model of the cell area distribution. Synthetic biological images are produced by Rama Hoetzlein. Contributions were also made by Rotem Raviv.