Further development of Axisymmetric Drop Shape Analysis-captive bubble for pulmonary surfactant related studies.
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.
Zuo
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Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON, Canada, M5S 3G8.
Ding
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M
Li
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D
Neumann
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AW
D000327:Adsorption; D000818:Animals; D002417:Cattle; D007091:Image Processing, Computer-Assisted; D010743:Phospholipids / Q000378:metabolism; D011663:Pulmonary Surfactants / Q000737:chemistry*; D013500:Surface Tension
D010743:Phospholipids; D011663:Pulmonary Surfactants