Computer vision and graphics in fluorescence microscopy

Lawrence M. Lifshitz; Kevin Fogarty; John M. Gauch; Edwin Moore

doi:10.1117/12.131105

22 September 1992 Computer vision and graphics in fluorescence microscopy

Lawrence M. Lifshitz, Kevin Fogarty, John M. Gauch, Edwin Moore

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131105
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

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.

Citation Download Citation

Lawrence M. Lifshitz, Kevin Fogarty, John M. Gauch, and Edwin Moore "Computer vision and graphics in fluorescence microscopy", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131105

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