About Cell Graphs
Cell-graphs are proposed to characterize the spatial organization between the cells in a tissue by using graph theory. In a cell-graph, nodes (or vertices) represent the cell nuclei and pairs of nodes are connected by a link (or edge) based on the spatial, chemical, or biological relationship between them. Structural characteristics of the underlying tissue are quantified through a rich set of features extracted from the cell-graphs. Various machine learning techniques can then be employed for the prediction, classification, or diagnosis of the functional state of the tissues using the structural organization of the cells in the tissue.
Running our Software
Using our free web application, anyone can upload a file that contains the coordinates of the centroids of the cell nuclei (organized in Nx2 array format for 2-D images, and Nx3 array format for 3-D images, where N is number of nuclei in the image), choose the link (edge) threshold, and receive the resulting graphs.