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Proceedings Paper

Computer vision and graphics in fluorescence microscopy
Author(s): Lawrence M. Lifshitz; Kevin Fogarty; John M. Gauch; Edwin Moore
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Paper Abstract

The focus of this paper is on the visualization of intracellular structures in 3-D, dual labelled, fluorescent images, and the quantification of the spatial relationships among these structures. Specifically, a local, fast deformable model has been developed which finds the membrane of a cell. Two visualization algorithms have also been developed. One is a surface-based algorithm which converts voxel data into planar surfaces and hence permits the visualization of the cell membrane (as found by the deformable model) in conjunction with the original data. The second is a 3-D voxel-based algorithm which permits the simultaneous visualization of two data sets and is optimized to emphasize the extent to which the data in two 3-D images (one from each fluorescent label) co-localize. In addition, a quantitative analysis of overlap between two data volumes has also been performed. The application of the developed tools to several biologically motivated problems is discussed.

Paper Details

Date Published: 22 September 1992
PDF: 14 pages
Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); doi: 10.1117/12.131105
Show Author Affiliations
Lawrence M. Lifshitz, Univ. of Massachusetts Medical School (United States)
Kevin Fogarty, Univ. of Massachusetts Medical School (United States)
John M. Gauch, Northeastern Univ. (United States)
Edwin Moore, Univ. of Massachusetts Medical School (United States)

Published in SPIE Proceedings Vol. 1808:
Visualization in Biomedical Computing '92

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