| Six-color segmentation of multicolor images in the infection studies of Listeria monocytogenes. | |
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MedLine Citation:
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PMID: 17177276 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Multiple immunofluorescent staining is a powerful strategy for visualizing the spatial and temporal relationship between antigens, cell populations, and tissue components in histological sections. To segment different cell populations from the multicolor image generated by immunostaining based on color addition theory, a systems approach is proposed for automatic segmentation of six colors. After image acquisition and processing, images are automatically segmented with the proposed approach and six-pseudo channels for individual or colocalized fluorescent dye are generated to distinguish different cell types. The principle of this approach is the classification of each pixel into one of six colors (red, green, blue, yellow, magenta, and cyan) by choosing the minimal angular deviation between the RGB vector of the given pixel and six classically defined edge vectors. In the present infection studies of Listeria monocytogenes, the new multicolor staining methods based on the color addition were applied and the proposed color segmentation was performed for multicolor analysis. Multicolor analysis was accomplished to study the migration and interaction of Listeria and different cell subpopulations such as CD4CD25 double positive T regulatory cells; we also visualized simultaneously the B cells, T cells, dendritic cells, macrophages, and Listeria in another experiment. After Listeria infection, ERTR9 macrophages and dendritic cells formed cluster with Listeria in the infection loci. The principle of color addition and the systems approach for segmentation may be widely applicable in infection and immunity studies requiring multicolor imaging and analysis. This approach can also be applied for image analysis in the multicolor in vivo imaging, multicolor FISH or karyotyping or other studies requiring multicolor analysis. |
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Authors:
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Bin Ma; Feng He; Jadwiga Jablonska; Simon Winkelbach; Werner Lindenmaier; An-Ping Zeng; Kurt E J Dittmar |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Microscopy research and technique Volume: 70 ISSN: 1059-910X ISO Abbreviation: Microsc. Res. Tech. Publication Date: 2007 Feb |
Date Detail:
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Created Date: 2007-02-05 Completed Date: 2007-04-04 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9203012 Medline TA: Microsc Res Tech Country: United States |
Other Details:
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Languages: eng Pagination: 171-8 Citation Subset: IM |
Affiliation:
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Gene Regulation and Differentiation, Helmholtz Centre for Infection Research, Braunschweig, Germany. bma@helmholtz-hzi.de |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Antigens, CD3 / immunology B-Lymphocytes / immunology, pathology Dendritic Cells / immunology, pathology Female Fluorescent Dyes Image Processing, Computer-Assisted Listeria Infections / microbiology, pathology* Listeria monocytogenes* Macrophages / immunology, pathology Mice Mice, Inbred BALB C Microscopy, Confocal Spleen / immunology, pathology T-Lymphocytes / immunology, pathology |
| Chemical | |
Reg. No./Substance:
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0/Antigens, CD3; 0/Fluorescent Dyes |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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