| |  Online-Ressource |
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| Verfasst von: | Kappe, Christopher P. [VerfasserIn]  |
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| | Schütz, Lucas [VerfasserIn] |
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| | Hufnagel, Lars [VerfasserIn] |
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| | Lemke, Steffen [VerfasserIn] |
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| | Leitte, Heike [VerfasserIn] |
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| Titel: | Reconstruction and visualization of coordinated 3D cell migration based on optical flow |
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| Verf.angabe: | Christopher P. Kappe, Student Member, IEEE, Lucas Schütz, Stefan Gunther, Lars Hufnagel, Steffen Lemke, and Heike Leitte, Member, IEEE |
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| Jahr: | 2016 |
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| Jahr des Originals: | 2015 |
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| Umfang: | 10 S. |
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| Fussnoten: | Published online: 19 August 2015 ; Gesehen am 10.05.2017 |
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| Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on visualization and computer graphics |
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| Ort Quelle: | New York, NY : IEEE, 1995 |
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| Jahr Quelle: | 2016 |
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| Band/Heft Quelle: | 22(2016), 1, Seite 995-1004 |
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| ISSN Quelle: | 1941-0506 |
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| Abstract: | Animal development is marked by the repeated reorganization of cells and cell populations, which ultimately determine form and shape of the growing organism. One of the central questions in developmental biology is to understand precisely how cells reorganize, as well as how and to what extent this reorganization is coordinated. While modern microscopes can record video data for every cell during animal development in 3D+t, analyzing these videos remains a major challenge: reconstruction of comprehensive cell tracks turned out to be very demanding especially with decreasing data quality and increasing cell densities. In this paper, we present an analysis pipeline for coordinated cellular motions in developing embryos based on the optical flow of a series of 3D images. We use numerical integration to reconstruct cellular long-term motions in the optical flow of the video, we take care of data validation, and we derive a LIC-based, dense flow visualization for the resulting pathlines. This approach allows us to handle low video quality such as noisy data or poorly separated cells, and it allows the biologists to get a comprehensive understanding of their data by capturing dynamic growth processes in stills. We validate our methods using three videos of growing fruit fly embryos. |
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| DOI: | doi:10.1109/TVCG.2015.2467291 |
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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: http://dx.doi.org/10.1109/TVCG.2015.2467291 |
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| | DOI: https://doi.org/10.1109/TVCG.2015.2467291 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | 0 |
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| | 3D |
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| | 3D+t |
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| | Adaptive optics |
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| | analysis pipeline |
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| | animal development |
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| | biology computing |
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| | Cell migration |
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| | cell populations |
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| | cell reorganization |
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| | cellular biophysics |
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| | cellular long-term motion reconstruction |
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| | coordinated 3D cell migration reconstruction |
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| | coordinated 3D cell migration visualization |
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| | coordinated cellular motions |
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| | data validation |
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| | data visualisation |
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| | Data visualization |
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| | video signal processing |
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| | zoology |
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| K10plus-PPN: | 155840998X |
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| Verknüpfungen: | → Zeitschrift |
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Reconstruction and visualization of coordinated 3D cell migration based on optical flow / Kappe, Christopher P. [VerfasserIn]; 2016 (Online-Ressource)
