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X-ray micro-computed tomography for non-destructive 3D X-ray histology

X-ray micro-computed tomography for non-destructive 3D X-ray histology
X-ray micro-computed tomography for non-destructive 3D X-ray histology
Historically, micro-computed tomography has been considered unsuitable for histological analysis of unstained formalin-fixed and paraffin-embedded (FFPE) soft tissue biopsies due to a lack of image contrast between the tissue and the paraffin. However, we recently demonstrated that μCT can successfully resolve microstructural detail in routinely prepared tissue specimens. Here, we illustrate how μCT imaging of standard FFPE biopsies can be seamlessly integrated into conventional histology workflows, enabling non-destructive three-dimensional (3D) X-ray histology, the use and benefits of which we showcase for the exemplar of human lung biopsy specimens. This technology advancement was achieved through manufacturing a first-of-kind μCT scanner for X-ray histology and developing optimised imaging protocols, which do not require any additional sample preparation. 3D X-ray histology allows for non-destructive 3D imaging of tissue microstructure, resolving structural connectivity and heterogeneity of complex tissue networks, such as the vascular or the respiratory tract. We also demonstrate that 3D X-ray histology can yield consistent and reproducible image quality, enabling quantitative assessment of tissue’s 3D microstructures, which is inaccessible to conventional two-dimensional histology. Being non-destructive the technique does not interfere with histology workflows, permitting subsequent tissue characterisation by means of conventional light microscopy-based histology, immunohistochemistry, and immunofluorescence. 3D X-ray histology can be readily applied to a plethora of archival materials, yielding unprecedented opportunities in diagnosis and research of disease.
0002-9440
Katsamenis, Orestis L.
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Olding, Michael
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Warner, Jane
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Chatelet, David
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Jones, Mark
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Sgalla, Giacomo
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Smit, Bennie
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Larkin, Oliver
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Haig, Ian
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Richeldi, Luca
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Sinclair, Ian
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Lackie, Peter
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Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Katsamenis, Orestis L.
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Olding, Michael
4194199f-96d5-4c34-90d5-bab40adf06a3
Warner, Jane
8571b049-31bb-4a2a-a3c7-4184be20fe25
Chatelet, David
6371fd7a-e274-4738-9ccb-3dd4dab32928
Jones, Mark
a6fd492e-058e-4e84-a486-34c6035429c1
Sgalla, Giacomo
a827a8c4-77f9-4d0e-bc08-a1aa01ffdf5a
Smit, Bennie
83a5f31d-f138-4c1c-b440-ce912a6a3eb6
Larkin, Oliver
5bde48ce-ef5d-43fa-998d-f38800240514
Haig, Ian
8c3dc208-c92b-4229-ab67-08dda8b45d64
Richeldi, Luca
47177d9c-731a-49a1-9cc6-4ac8f6bbbf26
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Lackie, Peter
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad

Katsamenis, Orestis L., Olding, Michael, Warner, Jane, Chatelet, David, Jones, Mark, Sgalla, Giacomo, Smit, Bennie, Larkin, Oliver, Haig, Ian, Richeldi, Luca, Sinclair, Ian, Lackie, Peter and Schneider, Philipp (2019) X-ray micro-computed tomography for non-destructive 3D X-ray histology. The American Journal of Pathology. (doi:10.1016/j.ajpath.2019.05.004).

Record type: Article

Abstract

Historically, micro-computed tomography has been considered unsuitable for histological analysis of unstained formalin-fixed and paraffin-embedded (FFPE) soft tissue biopsies due to a lack of image contrast between the tissue and the paraffin. However, we recently demonstrated that μCT can successfully resolve microstructural detail in routinely prepared tissue specimens. Here, we illustrate how μCT imaging of standard FFPE biopsies can be seamlessly integrated into conventional histology workflows, enabling non-destructive three-dimensional (3D) X-ray histology, the use and benefits of which we showcase for the exemplar of human lung biopsy specimens. This technology advancement was achieved through manufacturing a first-of-kind μCT scanner for X-ray histology and developing optimised imaging protocols, which do not require any additional sample preparation. 3D X-ray histology allows for non-destructive 3D imaging of tissue microstructure, resolving structural connectivity and heterogeneity of complex tissue networks, such as the vascular or the respiratory tract. We also demonstrate that 3D X-ray histology can yield consistent and reproducible image quality, enabling quantitative assessment of tissue’s 3D microstructures, which is inaccessible to conventional two-dimensional histology. Being non-destructive the technique does not interfere with histology workflows, permitting subsequent tissue characterisation by means of conventional light microscopy-based histology, immunohistochemistry, and immunofluorescence. 3D X-ray histology can be readily applied to a plethora of archival materials, yielding unprecedented opportunities in diagnosis and research of disease.

Text
AJPA 2019 148 Revision 1 accepted Pure - Accepted Manuscript
Restricted to Repository staff only until 2 May 2020.
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More information

Accepted/In Press date: 2 May 2019
e-pub ahead of print date: 22 May 2019

Identifiers

Local EPrints ID: 430729
URI: https://eprints.soton.ac.uk/id/eprint/430729
ISSN: 0002-9440
PURE UUID: af510d8c-bec9-44bf-8ea6-d8b69b7944f7
ORCID for Orestis L. Katsamenis: ORCID iD orcid.org/0000-0003-4367-4147
ORCID for Peter Lackie: ORCID iD orcid.org/0000-0001-7138-3764
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576

Catalogue record

Date deposited: 09 May 2019 16:30
Last modified: 25 May 2019 00:37

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Contributors

Author: Michael Olding
Author: Jane Warner
Author: David Chatelet
Author: Mark Jones
Author: Giacomo Sgalla
Author: Bennie Smit
Author: Oliver Larkin
Author: Ian Haig
Author: Luca Richeldi
Author: Ian Sinclair
Author: Peter Lackie ORCID iD

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