The Database Research and Integration Group is developing methods for large-scale analysis and constructing the systems that link everyone together. Novel distance measures, index structures, search algorithms, mining techniques, and a retinal cell atlas make it possible to handle the scale and complexity of the data. These techniques and those developed by other groups are integrated into BISQUE, a database system that serves as a central repository for images and helps biologists with image capture, analysis, and querying.
The Database Research and Integration Group is developing methods for large-scale analysis and constructing the systems that link everyone together. Novel distance measures, index structures, search algorithms, mining techniques, and a retinal cell atlas make it possible to handle the scale and complexity of the data. These techniques and those developed by other groups are integrated into BISQUE, a database system that serves as a central repository for images and helps biologists with image capture, analysis, and querying.
To support this effort, there are several peripheral projects to integrate the database with the biologists' workflow. The first of these is the Digital Notebook, a lightweight program for annotating large sets of images and for uploading images and metadata into the database. The second project in this vein is the iWall, a high-resolution display (8000 x 4800 pixels) for visual inspection of acquired images.
| < Prev |
|---|
