dc.contributor.authorTran Thi Nhu, Hoa
dc.contributor.authorArrojo E. Drigo, Rafael
dc.contributor.authorBerggren, Per-Olof
dc.contributor.authorBoudier, Thomas
dc.date.accessioned2017-06-09T05:54:52Z
dc.date.available2017-06-09T05:54:52Z
dc.date.issued2017
dc.identifier.citationTran Thi Nhu, H., Arrojo E. Drigo, R., Berggren, P. O., & Boudier, T. (2017). A novel toolbox to investigate tissue spatial organization applied to the study of the islets of Langerhans. Scientific Reports, 7, 44261-.en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttp://hdl.handle.net/10220/42644
dc.description.abstractThanks to the development of new 3D Imaging techniques, volumetric data of thick samples, especially tissues, are commonly available. Several algorithms were proposed to analyze cells or nuclei in tissues, however these tools are limited to two dimensions. Within any given tissue, cells are not likely to be organized randomly and as such have specific patterns of cell-cell interaction forming complex communication networks. In this paper, we propose a new set of tools as an approach to segment and analyze tissues in 3D with single cell resolution. This new tool box can identify and compute the geographical location of single cells and analyze the potential physical interactions between different cell types and in 3D. As a proof-of-principle, we applied our methodology to investigation of the cyto-architecture of the islets of Langerhans in mice and monkeys. The results obtained here are a significant improvement in current methodologies and provides new insight into the organization of alpha cells and their cellular interactions within the islet’s cellular framework.en_US
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en_US
dc.format.extent12 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesScientific Reportsen_US
dc.rights© 2017 The Author(s) (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/en_US
dc.subjectDiabetesen_US
dc.subjectImage processingen_US
dc.titleA novel toolbox to investigate tissue spatial organization applied to the study of the islets of Langerhansen_US
dc.typeJournal Article
dc.contributor.schoolLee Kong Chian School of Medicineen_US
dc.identifier.doihttp://dx.doi.org/10.1038/srep44261
dc.description.versionPublished versionen_US


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