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Proceedings Paper

Object Identification And Measurement From Images With Access To The Database To Select Specific Subpopulations Of Special Interest
Author(s): H. G. Rutherford; F. E. Taub; B. Williams
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Paper Abstract

An automated vision image analysis system to analyze images resulting from nucleic acid hybridizations is presented. Real-time image acquisition from autoradiographs is accomplished with a sensitivity to optical density to the degree that any spot visible by eye can be quantified by digital methods and enhanced by image processing techniques for observation. The system provides a tool for quantification of differences in gene expression, rapid processing of thousands of pairs of genes, storage in a database, search for small differences, large differences, and infrequently occuring genes. Background correction, normalization and pseudocolor "mapping" facilitate comparison and quantification directly from the CRT display. The image pairs, a percent change image and a difference image are presented in a quad display with coordinated spot density and change measurement simultaneously for each of the four images. The system provides a tool for analysis of altered gene expression in response to environmental stress, such as heat-shock and salt water in plant growth; hormone regulation, such as before and after hormone administration in animals; development; and carcinogenesis. The use of this system to study nucleic acid hybridization is contrasted with the study of 2-D protein electrophoresis gels for the determination of changes in gene expression and identification of corresponding proteins of significance.

Paper Details

Date Published: 3 June 1987
PDF: 8 pages
Proc. SPIE 0757, Methods of Handling and Processing Imagery, (3 June 1987); doi: 10.1117/12.940046
Show Author Affiliations
H. G. Rutherford, TAU Corporation (United States)
F. E. Taub, University of Mayland (United States)
B. Williams, ARCO Plant Cell Research Institute (United States)

Published in SPIE Proceedings Vol. 0757:
Methods of Handling and Processing Imagery
Julian Marshall, Editor(s)

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