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Proceedings Paper

Analysis of multidimensional confocal images
Author(s): Jagath K. Samarabandu; Raj S. Acharya; Chandima D. Edirisinghe; Ping Chin Cheng; Hyo-Gun Kim; T. H. Lin; R. G. Summers; C. J. Musial
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Paper Abstract

A confocal image understanding system was developed which uses the blackboard model of problem solving to achieve computerized identification and characterization of confocal fluorescent images (serial optical sections). The system is capable of identifying a large percentage of structures (e.g., cell nucleus) in the presence of background noise and nonspecific staining of cellular structures. The blackboard architecture provides a convenient framework within which a combination of image processing techniques can be applied to successively refine the input image. The system is organized to find the surfaces of highly visible structures first, using simple image processing techniques, and then to adjust and fill in the missing areas of these object surfaces using external knowledge, and a number of more complex image processing techniques when necessary. As a result, the image analysis system is capable of obtaining morphometrical parameters such as surface area, volume and position of structures of interest automatically. In addition, the system is also used in the characterization of inertial fusion targets where the actual target geometry was checked against ideal parameters. The system provides a powerful tool in the fields of material science and biological research such as micro-structural characterization, morphogenesis, cell differentiation, tissue organization and embryo development.

Paper Details

Date Published: 1 July 1991
PDF: 27 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44305
Show Author Affiliations
Jagath K. Samarabandu, SUNY/Buffalo (United States)
Raj S. Acharya, SUNY/Buffalo (United States)
Chandima D. Edirisinghe, SUNY/Buffalo (United States)
Ping Chin Cheng, SUNY/Buffalo (United States)
Hyo-Gun Kim, Univ. of Rochester (United States)
T. H. Lin, SUNY/Buffalo (United States)
R. G. Summers, SUNY/Buffalo (United States)
C. J. Musial, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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