Each work unit is a photograph of a protein crystallization experiment (one out of 1,536 images per protein, photographed six times over a period of one month), a visual record of the state of a protein sample dissolved in a solution of crystallizing agents. This photograph is shown in the background of the agent window. The Grid agent performs a computer vision analysis of the image in order to interpret its contents, first determining important image features, which are then used to classify (or label) the result of the experiment. During the feature image computation, intermediate steps of this analysis are displayed in the colored circles appearing in the foreground of the agent window.
The analysis is a search for four large categories of features in the image: microcrystals, straight lines, discrete objects, and textural features. Intermediate steps of the texture analysis are displayed in the colored circles that appear in the foreground of the agent window. As each step is completed, the computed result appears in the agent window.
Each circle is a copy of a region of the original image, transformed to highlight a different texture.