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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4376
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dc.contributor.authorHeller, Davide-
dc.contributor.authorHoppe, Andreas-
dc.contributor.authorRestrepo, Simon-
dc.contributor.authorGatti, Lorenzo-
dc.contributor.authorTournier, Alexander L.-
dc.contributor.authorTapon, Nicolas-
dc.contributor.authorBasler, Konrad-
dc.contributor.authorMao, Yanlan-
dc.date.accessioned2019-03-28T14:17:20Z-
dc.date.available2019-03-28T14:17:20Z-
dc.date.issued2016-
dc.identifier.issn1534-5807de_CH
dc.identifier.issn1878-1551de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/16376-
dc.description.abstractEpithelia 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.de_CH
dc.language.isoende_CH
dc.publisherCell Pressde_CH
dc.relation.ispartofDevelopmental Cellde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectEpithelial dynamicsde_CH
dc.subjectImage analysisde_CH
dc.subjectNetwork descriptionde_CH
dc.subjectCell Shapede_CH
dc.subjectEpitheliumde_CH
dc.subjectFluorescence microscopyde_CH
dc.subjectMorphogenesisde_CH
dc.subjectCell trackingde_CH
dc.subjectComputer-assisted image processingde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc571: Physiologie und verwandte Themende_CH
dc.titleEpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamicsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.21256/zhaw-4376-
dc.identifier.doi10.1016/j.devcel.2015.12.012de_CH
dc.identifier.pmid26766446de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end116de_CH
zhaw.pages.start103de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume36de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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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.


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