An Open Framework for Interactive Visualization of High Resolution, High Throughput Imagery

Poster presented by Anoop Haridas at annual MU Life Sciences Week, 2010 and 2012. Also presented at annual CS Poster Competition, 2010 and awarded 1st Place (Best Poster).

 In this poster we present a novel framework for high-resolution, high throughput image data visualization with possible applications in biomedical image analysis research, particularly for microscopic imagery. Kolam is a software package for the interactive visualization of massive datasets and 2D imagery of varying resolutions. It is platform and operating system independent, and supports embedded datasets scalable from hundreds of gigabytes to terabytes in size on desktop computers without any specialized hardware . In addition to extremely rapid roam, zoom and hyper-jump spatial operations, Kolam supports an arbitrary number of simultaneously visible embedded layers, on-the-fly colormap lookup and histogram enhancement, projection of images onto a spherical surface and elevation maps. Kolam also provides a robust framework for the animation of image sequences. A feature-rich tracking interface supports bioanalytics for measuring cellular and sub-cellular motion in brightfield, phase-contrast and fluorescent microscopy imagery, manual trajectory drawing and cell lineage analysis.