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A massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placenta
Tun, Win Min Poologasundarampillai, Gowsihan Bischof, H. Nye, Gareth King, Oliver N. F. Basham, Mark Tokudome, Y. Lewis, Rohan M. Johnstone, E. D. Brownbill, Paul
Tun, Win Min
Poologasundarampillai, Gowsihan
Bischof, H.
Nye, Gareth
King, Oliver N. F.
Basham, Mark
Tokudome, Y.
Lewis, Rohan M.
Johnstone, E. D.
Brownbill, Paul
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Publication Date
2021-06-02
Submitted Date
2021-02-16
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rsif.2021.0140.pdf
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Abstract
Multi-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.
Citation
Tun W. M., Poologasundarampillai G., Bischof H., Nye G., King O. N. F., Basham M., Tokudome Y., Lewis R. M., Johnstone E. D., Brownbill P., Darrow M. and Chernyavsky I. L. (2021). A massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placentaJ. Journal of the Royal Society Interface, 18(179), 20210140
http://doi.org/10.1098/rsif.2021.0140
Publisher
The Royal Society
Journal
Research Unit
DOI
10.1098/rsif.2021.0140
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article
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From The Royal Society via Jisc Publications Router
History: received 2021-02-16, accepted 2021-05-06, collection 2021-06, pub-electronic 2021-06-02
Article version: VoR
Publication status: Published
Funder: Engineering and Physical Sciences Research Council; Id: http://dx.doi.org/10.13039/501100000266; Grant(s): EP/M023877/1, EP/T008725/1
Funder: Medical Research Council; Id: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/N011538/1
Funder: Wellcome Trust; Id: http://dx.doi.org/10.13039/100004440; Grant(s): 212980/Z/18/Z
Funder: Great Britain Sasakawa Foundation; Id: http://dx.doi.org/10.13039/501100000625
History: received 2021-02-16, accepted 2021-05-06, collection 2021-06, pub-electronic 2021-06-02
Article version: VoR
Publication status: Published
Funder: Engineering and Physical Sciences Research Council; Id: http://dx.doi.org/10.13039/501100000266; Grant(s): EP/M023877/1, EP/T008725/1
Funder: Medical Research Council; Id: http://dx.doi.org/10.13039/501100000265; Grant(s): MR/N011538/1
Funder: Wellcome Trust; Id: http://dx.doi.org/10.13039/100004440; Grant(s): 212980/Z/18/Z
Funder: Great Britain Sasakawa Foundation; Id: http://dx.doi.org/10.13039/501100000625