New Aspects in Respiratory Epithelium Diagnostics Using Virtual Instrumentation

Abstract

Subject of interest is trajectory analysis of moving object. Object is represented by respiratory epithelium cilium. Cilium trajectory and another parameter – beating frequency – are very important parameters in respiratory apparatus diagnostics. Main method of motion detection is Geometric Matching and gray level variance capturing. Primary experiments were taken on video phantoms simulating cilia movement using two camera systems: Marlin and PONTOS. All the phantoms were processed in LabVIEW development environment. Article focuses on acquisition conditions, preprocessing of videosequences and basic measurement on acquired phantoms