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Multiple tissue antigen analysis by sequential immunofluorescence staining and multi-dimensional image analysis
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.
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2001 (English)In: Proceedings of SCIA-01 (Scandinavian Conference on Image Analysis), 2001, 25-31 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel method for sequential immunofluorescence staining, which, in combination with 3D image registration and segmentation, can be used to increase the number of antigens that can be observed simultaneously in single cells in tissue sections. Visualization of more than one antigen by multicolor immunostaining is often desirable or even necessary, both for quantitative studies and to explore spatial relationships of functional significance. Sequential staining, meaning repeated application and removal of fluorescence markers, greatly increases the number of different antigens that can be visualized and quantified in single cells using digital imaging fluorescence microscopy. Quantification and efficient objective analysis of the image data requires digital image analysis. A method for 3D image registration combined with 2D and 3D segmentation and 4D extraction of data is described.

Place, publisher, year, edition, pages
2001. 25-31 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-39178OAI: oai:DiVA.org:uu-39178DiVA: diva2:67077
Available from: 2008-01-09 Created: 2008-01-09 Last updated: 2017-02-08

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Wählby, CarolinaBengtsson, Ewert

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