Quantitative Imaging of Aggregated Emulsions

@article{citeulike:2937514, abstract = {Abstract: Noise reduction, restoration, and segmentation methods are developed for the quantitative structural analysis in three dimensions of aggregated oil-in-water emulsion systems imaged by fluorescence confocal laser scanning microscopy. Mindful of typical industrial formulations, the methods are demonstrated for concentrated (30\% volume fraction) and polydisperse emulsions. Following a regularized deconvolution step using an analytic optical transfer function and appropriate binary thresholding, novel application of the Euclidean distance map provides effective discrimination of closely clustered emulsion droplets with size variation over at least 1 order of magnitude. The a priori assumption of spherical nonintersecting objects provides crucial information to combat the ill-posed inverse problem presented by locating individual particles. Position coordinates and size estimates are recovered with sufficient precision to permit quantitative study of static geometrical features. In particular, aggregate morphology is characterized by a novel void distribution measure based on the generalized Apollonius problem. This is also compared with conventional Voronoi/Delauney analysis.}, address = {Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom}, author = {Penfold, R. and Watson, A. D. and Mackie, A. R. and Hibberd, D. J. }, citeulike-article-id = {2937514}, doi = {http://dx.doi.org/10.1021/la052719w}, journal = {Langmuir}, keywords = {confocal, emulsion, imaging, methods}, month = {February}, number = {5}, pages = {2005--2015}, posted-at = {2008-06-27 16:20:06}, priority = {4}, title = {Quantitative Imaging of Aggregated Emulsions}, url = {http://dx.doi.org/10.1021/la052719w}, volume = {22}, year = {2006} }

TY - JOUR ID - citeulike:2937514 L3 - citeulike-article-id:2937514 N2 - Abstract: Noise reduction, restoration, and segmentation methods are developed for the quantitative structural analysis in three dimensions of aggregated oil-in-water emulsion systems imaged by fluorescence confocal laser scanning microscopy. Mindful of typical industrial formulations, the methods are demonstrated for concentrated (30% volume fraction) and polydisperse emulsions. Following a regularized deconvolution step using an analytic optical transfer function and appropriate binary thresholding, novel application of the Euclidean distance map provides effective discrimination of closely clustered emulsion droplets with size variation over at least 1 order of magnitude. The a priori assumption of spherical nonintersecting objects provides crucial information to combat the ill-posed inverse problem presented by locating individual particles. Position coordinates and size estimates are recovered with sufficient precision to permit quantitative study of static geometrical features. In particular, aggregate morphology is characterized by a novel void distribution measure based on the generalized Apollonius problem. This is also compared with conventional Voronoi/Delauney analysis. IS - 5 JF - Langmuir AD - Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom EP - 2015 TI - Quantitative Imaging of Aggregated Emulsions VL - 22 SP - 2005 KW - confocal KW - emulsion KW - imaging KW - methods AU - Penfold, R AU - Watson, AD AU - Mackie, AR AU - Hibberd, DJ PY - 2006/02/28/ UR - http://dx.doi.org/10.1021/la052719w ER -