Further development of Axisymmetric Drop Shape Analysis-Captive Bubble for pulmonary surfactant related studies

Abstract

The methodology combining Axisymmetric Drop Shape Analysis (ADSA) with a captive bubble (ADSA-CB) facilitates pulmonary surfactant related studies. The accuracy of ADSA-CB is crucially dependent on the quality of the bubble profile extracted from the raw image. In a previous paper, an image analysis scheme featuring a Canny edge detector and a Axisymmetric Liquid Fluid Interfaces-Smoothing (ALFI-S) algorithm was developed to process captive bubble images under a variety of conditions, including images with extensive noise and/or lack of contrast. A new version of ADSA-CB based on that image analysis scheme is developed and applied to pulmonary surfactant and pulmonary surfactant-polymer systems. The new version is found to be highly noise-resistant and well self-adjusting.