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| Verfasst von: | Wörz, Stefan [VerfasserIn]  |
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| | Sander, Petra [VerfasserIn] |
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| | Pfannmöller, Martin [VerfasserIn] |
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| | Rieker, Ralf Joachim [VerfasserIn] |
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| | Joos, Stefan [VerfasserIn] |
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| | Mechtersheimer, Gunhild [VerfasserIn] |
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| | Boukamp, Petra [VerfasserIn] |
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| | Lichter, Peter [VerfasserIn] |
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| | Rohr, Karl [VerfasserIn] |
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| Titel: | 3D geometry-based quantification of colocalizations in multichannel 3D microscopy images of human soft tissue tumors |
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| Verf.angabe: | Stefan Worz, Petra Sander, Martin Pfannmoller, Ralf J. Rieker, Stefan Joos, Gunhild Mechtersheimer, Petra Boukamp, Peter Lichter, and Karl Rohr |
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| E-Jahr: | 2010 |
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| Jahr: | August 2010 |
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| Umfang: | 11 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Date of Publication: 17 June 2010 ; Gesehen am 20.03.2024 |
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| Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on medical imaging |
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| Ort Quelle: | New York, NY : Institute of Electrical and Electronics Engineers, 1982 |
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| Jahr Quelle: | 2010 |
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| Band/Heft Quelle: | 29(2010), 8 vom: Aug., Seite 1474-1484 |
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| ISSN Quelle: | 1558-254X |
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| Abstract: | We introduce a new model-based approach for automatic quantification of colocalizations in multichannel 3D microscopy images. The approach uses different 3D parametric intensity models in conjunction with a model fitting scheme to localize and quantify subcellular structures with high accuracy. The central idea is to determine colocalizations between different channels based on the estimated geometry of the subcellular structures as well as to differentiate between different types of colocalizations. A statistical analysis was performed to assess the significance of the determined colocalizations. This approach was used to successfully analyze about 500 three-channel 3D microscopy images of human soft tissue tumors and controls. |
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| DOI: | doi:10.1109/TMI.2010.2049857 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1109/TMI.2010.2049857 |
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| | Volltext: https://ieeexplore.ieee.org/document/5487413 |
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| | DOI: https://doi.org/10.1109/TMI.2010.2049857 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Bioinformatics |
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| | Biological tissues |
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| | Cancer |
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| | DNA |
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| | Fluorescence |
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| | Genomics |
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| | Geometric colocalizations |
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| | Humans |
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| | Microscopy |
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| | model-based segmentation |
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| | Neoplasms |
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| | parametric intensity models |
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| | Pathology |
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| | Telomeres and Promyelocytic leukemia (PML) bodies |
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| K10plus-PPN: | 1883927463 |
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| Verknüpfungen: | → Zeitschrift |
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3D geometry-based quantification of colocalizations in multichannel 3D microscopy images of human soft tissue tumors / Wörz, Stefan [VerfasserIn]; August 2010 (Online-Ressource)
