Researchers are leveraging powerful Ohio Supercomputer Center resources to develop computer-assisted diagnosis tools for diagnosing Follicular Lymphoma. Accurate grading of the pathological samples generally leads to a promising prognosis, but diagnosis depends solely upon a labor-intensive process that can be affected by fatigue, reader variation and bias. These computer-assisted procedures will provide pathologists grading cancerous Follicular Lymphoma samples with quicker, more consistently accurate diagnoses.