The question can be rephrased as: What can we learn from analyzing and modeling the morphology of cells? I will discuss our recent work on statistical analysis and mathematical modeling of cell morphology in retinal pigment epithelium. The story begins as we age... Age-related macular degeneration (AMD) is the main cause of vision loss in the elderly and is a looming epidemic in our aging society. Presently there is no way to determine how a patient's eye will progress, and no effective treatment for AMD. To tackle this problem, our eyes rested on retinal pigment epithelium, because it is a crucial site of AMD pathology and it undergoes morphological changes as the eye ages and AMD progresses. We collected retinal pigment epithelium morphological data from mouse eyes. Statistical analysis on the morphometric data established that we can discriminate the genotypes of the eyes despite aging as a confounding factor. This work is the first step toward developing the relationship between the cell morphology in the epithelium and the age and disease status of the eye. We also developed a mathematical model of two-dimensional epithelium morphological dynamics. Simulations suggested clustered cell death could cause normal retinal pigment epithelium to develop into those seen in AMD patients. This work provides a foundation for a potential diagnostic and prognostic tool for AMD.