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Shape based identification of proteins in volume images
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2005 (English)In: Image Analysis: 14th Scandinavian Conference on Image Analysis, SCIA 2005, 2005, 253-262 p.Conference paper, Published paper (Refereed)
Abstract [en]

A template based matching method, adapted to the application of identifying individual proteins of a certain kind in volume images, is presented. Grey-level and gradient megnitude information is combined in the watershed algorithm to extract stable borders. These are used in a subsequent hierarchical matching algorithm. The matching algorithm uses a distance transform to serach for local best fits between the edges of a template and edges in the underlying image. It is embedded in a resolution pyramid to decrease the risk of getting stuck in false local minima. This method makes it possible to find proteins attached to other proteins, or proteins appearing as split into parts in the images. It also decreases the amount of human interaction m´needed for identifying individual proteins of the searched kind. The method is demonstrated on a set of three volume images of the antibody IgG in solution.

Place, publisher, year, edition, pages
2005. 253-262 p.
Identifiers
URN: urn:nbn:se:uu:diva-74500ISBN: 3-540-26320-9 (print)OAI: oai:DiVA.org:uu-74500DiVA: diva2:102410
Available from: 2005-10-03 Created: 2005-10-03

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Sintorn, Ida-MariaBorgefors, Gunilla

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