Processing sequences of chromatophore images with application to a signal transduction pathway modeling Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/sn00b088z

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  • Systems biology is becoming increasingly important for the study of living organisms. It focuses on the mathematical understanding of biological systems. Cells, the basic units of all living creatures, are biological systems of major interest. Considerable work is being done towards modeling cells as mathematical systems. At the same time, great effort has been made in an attempt to use chromatophore cells as biosensors for various substances. The results of changes in these cells induced by various substances can be seen under the microscope. Therefore, efficient digital image and video processing algorithms are required to help extract these changes. This dissertation establishes a link between the biological aspect of chromatophores and digital image/video processing techniques used for chromatophore characterization. A complete model of the Gs-AC-PKA-granule motion signal transduction pathway is proposed, starting from the input ligand and ending in features extracted from the microscope image. The model is developed by extending an existing system biology differential equation based model of the Gs—AC—PKA transduction pathway obtained from the Database of Quantitative Cellular Signaling (DQCS). The extension of the mode! is founded on physical assumptions about the dynamic behavior of pigment granules as well as on image feature extraction. Several image and video processing methods have been either newly developed or adapted for the characterization of pigment granule distribution images. Examples are presented to demonstrate the effectiveness of the developed image processing methods and of the proposed system model.
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  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2007-11-06T18:02:05Z (GMT) No. of bitstreams: 1 Orhanovic_Iva.pdf: 2913813 bytes, checksum: 20eef0068bcce298546107651affdd5c (MD5)
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  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2007-11-06T18:05:35Z (GMT) No. of bitstreams: 1 Orhanovic_Iva.pdf: 2913813 bytes, checksum: 20eef0068bcce298546107651affdd5c (MD5)

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