Semi-automated Acanthamoeba polyphaga detection and computation of Salmonella typhimurium concentration in spatio-temporal images

► We perform image analysis techniques to segment a large dataset of images with amoebae/cyst population in bacteria lawn. ► Circularity index and probabilistic models are employed to distinguish amoebae/cysts and mobile/immobile organisms. ► A graphical user interface is developed that comprises clustering algorithms and viewing facilities to enhance classification efficiency. ► Probabilistic methods are presented to allow enumeration of bacteria.