Detection Methods of Static Microscopic Objects

Abstract

The article deals with selected methods of automated detection of microscopic objects in video sequences obtained by high-speed cinematography and light microscopy. The objects of interest are represented by cilia of airways and also artefact generating objects (gas bubbles and erythrocytes). The main idea of this work is to create complex diagnostic tool for evaluation of ciliated epithelium in airways, where the ratio between moving and static cilia helps to search proper diagnosis (confirmation of PCD – primary ciliary dyskinesia). Methods for automated segmentation of static cilia creates a big challenge for image analysis against the dynamic ones due to character and parameters of obtained images. This work is supported by medical specialists from Jessenius Faculty of Medicine in Martin (Slovakia) and proposed tools would fill the gap in the diagnostics in the field of respirology in Slovakia.