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...

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Published inBiochimica et biophysica acta Vol. 1675; no. 1; pp. 12 - 20
Main Authors Zuo, Y.Y., Ding, M., Li, D., Neumann, A.W.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 18.11.2004
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Summary: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.
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ISSN:0304-4165
0006-3002
1872-8006
DOI:10.1016/j.bbagen.2004.08.003