Necrotizing enterocolitis (NEC) is a common gastrointestinal disorder affecting premature infants. To investigate critically the importance of the purported risk factors of NEC (formula feeding, asphyxia, bacteria, and prematurity), we developed a neonatal rat model that closely mimics the human disease. Full-term and premature newborn rats were stressed with formula feeding, asphyxia, and/or exogenous bacterial colonization and subsequently evaluated grossly and histologically for the development of intestinal injury. We found that most animals treated with asphyxia, formula feeding, and bacteria developed NEC (77%) and died (86%) by 96 h. All maternally fed animals treated with asphyxia and bacterial colonization survived and had normal intestinal histology. Furthermore, asphyxia was a critical instigating factor, because formula and bacterial exposure without asphyxia resulted in normal intestine and minimal mortality (12%). Enteral bacterial colonization was not a significant determinant of NEC in this model. We conclude that the neonatal rat model is an excellent test system for the study of NEC. As in the human disease, asphyxia and formula feeding play an important role in the pathophysiology of experimental NEC.

Machine learning techniques have been developed to identify inclusions on the surface of freely suspended smectic liquid crystal films imaged by reflected light microscopy. The experimental images are preprocessed using Canny edge detection and then passed to a radial kernel support vector machine (SVM) trained to recognize circular islands and droplets. The SVM is able to identify these objects of interest with an accuracy that far exceeds that of conventional tracking software, especially when the background image is non-uniform or when the target features are in close proximity to one another. This method could be applied to tracking objects in a variety of visually inhomogeneous biological and soft matter environments, in order to study growth dynamics, the development of spatial order, and hydrodynamic behavior.