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dc.contributor.authorTun, W. M.; orcid: 0000-0003-0991-8785
dc.contributor.authorPoologasundarampillai, G.; orcid: 0000-0002-8498-323X
dc.contributor.authorBischof, H.
dc.contributor.authorNye, G.
dc.contributor.authorKing, O. N. F.; orcid: 0000-0002-6152-7207
dc.contributor.authorBasham, M.; orcid: 0000-0002-8438-1415
dc.contributor.authorTokudome, Y.
dc.contributor.authorLewis, R. M.; orcid: 0000-0003-4044-9104
dc.contributor.authorJohnstone, E. D.
dc.contributor.authorBrownbill, P.; orcid: 0000-0002-8328-7072
dc.contributor.authorDarrow, M.; orcid: 0000-0001-6259-1684
dc.contributor.authorChernyavsky, I. L.; orcid: 0000-0003-0284-9318
dc.date.accessioned2021-06-10T00:51:29Z
dc.date.available2021-06-10T00:51:29Z
dc.date.issued2021-06-02
dc.identifierdoi: 10.1098/rsif.2021.0140
dc.identifier.citationJournal of The Royal Society Interface, volume 18, issue 179, page 20210140
dc.identifier.urihttp://hdl.handle.net/10034/624889
dc.descriptionFrom Crossref journal articles via Jisc Publications Router
dc.descriptionHistory: epub 2021-06-02
dc.descriptionPublication status: Published
dc.descriptionFunder: Engineering and Physical Sciences Research Council; FundRef: 10.13039/501100000266; Grant(s): EP/T008725/1, EP/M023877/1
dc.descriptionFunder: Wellcome Trust; FundRef: 10.13039/100010269; Grant(s): 212980/Z/18/Z
dc.descriptionFunder: Great Britain Sasakawa Foundation; FundRef: 10.13039/501100000625
dc.descriptionFunder: Medical Research Council; Grant(s): MR/N011538/1
dc.description.abstractMulti-scale structural assessment of biological soft tissue is challenging but essential to gain insight into structure–function relationships of tissue/organ. Using the human placenta as an example, this study brings together sophisticated sample preparation protocols, advanced imaging and robust, validated machine-learning segmentation techniques to provide the first massively multi-scale and multi-domain information that enables detailed morphological and functional analyses of both maternal and fetal placental domains. Finally, we quantify the scale-dependent error in morphological metrics of heterogeneous placental tissue, estimating the minimal tissue scale needed in extracting meaningful biological data. The developed protocol is beneficial for high-throughput investigation of structure–function relationships in both normal and diseased placentas, allowing us to optimize therapeutic approaches for pathological pregnancies. In addition, the methodology presented is applicable in the characterization of tissue architecture and physiological behaviours of other complex organs with similarity to the placenta, where an exchange barrier possesses circulating vascular and avascular fluid spaces.
dc.publisherThe Royal Society
dc.sourceeissn: 1742-5662
dc.subjectBiotechnology
dc.subjectBiophysics
dc.subjectBiochemistry
dc.subjectBioengineering
dc.subjectBiomaterials
dc.subjectBiomedical Engineering
dc.titleA massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placenta
dc.typearticle
dc.date.updated2021-06-10T00:51:29Z


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