A method for the classification of Centrablast cells versus Non-Centroblast in Follicular Lymphoma has been accepted for publication in the Analytical and Quantitative Cytology and Histology journal. The authors of the paper were Kamel Belkacem-Boussaid, Ph.D, and Michael. Pennell, Ph.D, Gerard. Lozanski, MD, Arwa. Shanaah, MD, and Metin Gurcan, Ph.D. The title of the manuscript is "Computer-aided classification of centroblast cells in follicular lymphoma". The abstract of the manuscript appears below. Objective: In this paper, we develop a novel automated method to distinguish centroblast (CB) cells from non-centroblast (non-CB) cells in follicular lymphoma cases and measure its performance on cases obtained by a consensus of six pathologists. Study Design: Geometric and color texture features were used in the training and testing of the supervised quadratic discriminant analysis (QDA) classifier. The technique was trained and tested on a data set composed of 218 CB images a...