Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://doi.org/10.21256/zhaw-4376| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics |
| Autor/-in: | Heller, Davide Hoppe, Andreas Restrepo, Simon Gatti, Lorenzo Tournier, Alexander L. Tapon, Nicolas Basler, Konrad Mao, Yanlan |
| DOI: | 10.21256/zhaw-4376 10.1016/j.devcel.2015.12.012 |
| Erschienen in: | Developmental Cell |
| Band(Heft): | 36 |
| Heft: | 1 |
| Seite(n): | 103 |
| Seiten bis: | 116 |
| Erscheinungsdatum: | 2016 |
| Verlag / Hrsg. Institution: | Cell Press |
| ISSN: | 1534-5807 1878-1551 |
| Sprache: | Englisch |
| Schlagwörter: | Epithelial dynamics; Image analysis; Network description; Cell Shape; Epithelium; Fluorescence microscopy; Morphogenesis; Cell tracking; Computer-assisted image processing |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten 571: Physiologie und verwandte Themen |
| Zusammenfassung: | Epithelia grow and undergo extensive rearrangements to achieve their final size and shape. Imaging the dynamics of tissue growth and morphogenesis is now possible with advances in time-lapse microscopy, but a true understanding of their complexities is limited by automated image analysis tools to extract quantitative data. To overcome such limitations, we have designed a new open-source image analysis toolkit called EpiTools. It provides user-friendly graphical user interfaces for accurately segmenting and tracking the contours of cell membrane signals obtained from 4D confocal imaging. It is designed for a broad audience, especially biologists with no computer-science background. Quantitative data extraction is integrated into a larger bioimaging platform, Icy, to increase the visibility and usability of our tools. We demonstrate the usefulness of EpiTools by analyzing Drosophila wing imaginal disc growth, revealing previously overlooked properties of this dynamic tissue, such as the patterns of cellular rearrangements. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/16376 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2016_Heller_EpiTools_Developmental_Cell_36_1.pdf | 7.4 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Heller, D., Hoppe, A., Restrepo, S., Gatti, L., Tournier, A. L., Tapon, N., Basler, K., & Mao, Y. (2016). EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics. Developmental Cell, 36(1), 103–116. https://doi.org/10.21256/zhaw-4376
Heller, D. et al. (2016) ‘EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics’, Developmental Cell, 36(1), pp. 103–116. Available at: https://doi.org/10.21256/zhaw-4376.
D. Heller et al., “EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics,” Developmental Cell, vol. 36, no. 1, pp. 103–116, 2016, doi: 10.21256/zhaw-4376.
HELLER, Davide, Andreas HOPPE, Simon RESTREPO, Lorenzo GATTI, Alexander L. TOURNIER, Nicolas TAPON, Konrad BASLER und Yanlan MAO, 2016. EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics. Developmental Cell. 2016. Bd. 36, Nr. 1, S. 103–116. DOI 10.21256/zhaw-4376
Heller, Davide, Andreas Hoppe, Simon Restrepo, Lorenzo Gatti, Alexander L. Tournier, Nicolas Tapon, Konrad Basler, and Yanlan Mao. 2016. “EpiTools : An Open-Source Image Analysis Toolkit for Quantifying Epithelial Growth Dynamics.” Developmental Cell 36 (1): 103–16. https://doi.org/10.21256/zhaw-4376.
Heller, Davide, et al. “EpiTools : An Open-Source Image Analysis Toolkit for Quantifying Epithelial Growth Dynamics.” Developmental Cell, vol. 36, no. 1, 2016, pp. 103–16, https://doi.org/10.21256/zhaw-4376.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.