Abstract
Researchers are entering a new era in scientific discovery enabled by Big Data and E-Science. A growing, but largely untapped resource, is large-scale image analytics. To-date, images were only viewed, but advanced analytics now allow scientists to extract quantitative data from images. New imaging techniques now routinely reveal everything from crystal lattices to fully cleared brains in ever-increasing levels of detail, but requires significant innovation to visualize, validate and analyze these data. This project develops novel query and analysis mechanisms to generate meaningful insights from massive scientific datasets and a purely browser-based viewer for visualizing and sharing the resulting massive 3d images. It was tested on a number of real datasets from life sciences (high-resolution microscopy) and materials science (X-ray tomography). The outcome is a platform that enables ubiquitous access to data, collaboration, and real-time feedback.
View more details at the SBIR Website (Contract: DE-SC0018550).