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Detecting Virus-like Particles Using Transmission Electron Microscopy
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2009 (English)In: Proceedings SSBA 2009, Symposium on Image Analysis / [ed] Josef Bigun, Antanas Verikas, Halmstad: EIS, Halmstad University , 2009, 13-16 p.Conference paper, Published paper (Other academic)
Abstract [en]

We present a multi scale approach for automating the image acquisition process for an computerized virus diagnostic application. Our methods are designed to mimic the methodology used by virus TEM experts manually operating the microscope. The methods decrease the search area considerably. In addition we present a segmentation method for virus-like particles based on local intensity information and PCA. This method makes no assumption regarding shape which is vital since many viruses are highly pleomorphic, i.e., have different shapes. The only input parameter used is the approximate virus thickness, which is a conserved feature within a virus species.

Place, publisher, year, edition, pages
Halmstad: EIS, Halmstad University , 2009. 13-16 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-111459ISBN: 978-91-633-3924-0 (print)OAI: oai:DiVA.org:uu-111459DiVA: diva2:281283
Conference
Symposium on Image Analysis
Projects
Panvirushield
Available from: 2009-12-15 Created: 2009-12-15 Last updated: 2012-05-22Bibliographically approved

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Kylberg, Gustaf

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