TUNABLE TENSOR VOTING FOR REGULARIZING PUNCTATE PATTERNS OFMEMBRANE-BOUND PROTEIN SIGNALS

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Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membrane-bound protein can be visualized as being diffused (e.g., E-cadherin), punctate (e.g., connexin), or simultaneously diffused and punctate as a result of sample preparation or conditioning. Furthermore, there is a significant amount of heterogeneity as a result of technical and biological variations. This paper aims at enhancing membrane-bound proteins that are expressed between epithelial cells so that quantitative analysis can be enabled on a cell-by-cell basis. We propose a method to detect and enhance membrane-bound protein signal from noisy ... continued below

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Loss, Leandro; Bebis, George & Parvin, Bahram April 29, 2009.

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Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membrane-bound protein can be visualized as being diffused (e.g., E-cadherin), punctate (e.g., connexin), or simultaneously diffused and punctate as a result of sample preparation or conditioning. Furthermore, there is a significant amount of heterogeneity as a result of technical and biological variations. This paper aims at enhancing membrane-bound proteins that are expressed between epithelial cells so that quantitative analysis can be enabled on a cell-by-cell basis. We propose a method to detect and enhance membrane-bound protein signal from noisy images. More precisely, we build upon the tensor voting framework in order to produce an efficient method to detect and refine perceptually interesting linear structures in images. The novelty of the proposed method is in its iterative tuning of the tensor voting fields, which allows the concentration of the votes only over areas of interest. The method is shown to produce high quality enhancements of membrane-bound protein signals with combined punctate and diffused characteristics. Experimental results demonstrate the benefits of using tunable tensor voting for enhancing and differentiating cell-cell adhesion mediated by integral cell membrane protein.

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  • Sixth IEEE International Symposium on Biomedical Imaging (ISBI?09) , Boston, MA, June 18-July 1, 2009

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  • Report No.: LBNL-1952E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 960434
  • Archival Resource Key: ark:/67531/metadc935194

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  • April 29, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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  • Nov. 18, 2016, 3:34 p.m.

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Loss, Leandro; Bebis, George & Parvin, Bahram. TUNABLE TENSOR VOTING FOR REGULARIZING PUNCTATE PATTERNS OFMEMBRANE-BOUND PROTEIN SIGNALS, article, April 29, 2009; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc935194/: accessed June 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.