A generic network model is applied to study the structure of the mammalian corneal endothelium. The model has <p>been shown to reproduce the network properties of a wide range of systems, from low-dimensional inorganic glasses</p> <p>to colloidal nanoparticles deposited on a surface. Available extensive experimental microscopy results are analysed</p> <p>and combined to highlight the behaviour of two key metrics, the fraction of hexagonal rings ($p_6$) and the</p> <p>coefficient of variation of the area (CV). Their behaviour is analysed as a function of patient age, the onset of</p> <p>diabetes and contact lens wearing status. Wearing contact lenses for $\sim$10years is shown to change the endothelium</p> <p>structure by the equivalent of $\sim$30years contact lens-free. Model network configurations are obtained using a Monte Carlo bond switching</p> <p>algorithm with the resulting topologies controlled by two potential model parameters (the bond and angular force</p> <p>constants) and the Monte Carlo temperature. The effect of systematically varying these parameters is</p> <p>investigated. In addition, the effect of constraining the ring size distribution is investigated. The networks</p> <p>generated with relatively weak bond force constants are shown to correlate best with the experimental information. The</p> <p>importance of extracting the full ring size distribution (rather than simply the fraction of hexagons) is discussed.