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X-ray micro-computed tomography for nondestructive three-dimensional (3D) x-ray histology

X-ray micro-computed tomography for nondestructive three-dimensional (3D) x-ray histology
X-ray micro-computed tomography for nondestructive three-dimensional (3D) x-ray histology

Historically, micro-computed tomography (μCT) has been considered unsuitable for histologic analysis of unstained formalin-fixed, paraffin-embedded soft tissue biopsy specimens because of 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. Herein, we illustrate how μCT imaging of standard formalin-fixed, paraffin-embedded biopsy specimens can be seamlessly integrated into conventional histology workflows, enabling nondestructive 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 optimized imaging protocols, which do not require any additional sample preparation. 3D X-ray histology allows for nondestructive 3D imaging of tissue microstructure, resolving structural connectivity and heterogeneity of complex tissue networks, such as the vascular network or the respiratory tract. We also demonstrate that 3D X-ray histology can yield consistent and reproducible image quality, enabling quantitative assessment of a tissue's 3D microstructures, which is inaccessible to conventional two-dimensional histology. Being nondestructive, the technique does not interfere with histology workflows, permitting subsequent tissue characterization 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
1608-1620
Katsamenis, Orestis L
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Olding, Michael
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Warner, Jane A
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Chatelet, David S
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Jones, Mark G
a6fd492e-058e-4e84-a486-34c6035429c1
Sgalla, Giacomo
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Smit, Bennie
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Larkin, Oliver J
a81f51f7-a498-4395-ba90-74291ae2f9e6
Haig, Ian
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Richeldi, Luca
47177d9c-731a-49a1-9cc6-4ac8f6bbbf26
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Lackie, Peter M
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Katsamenis, Orestis L
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Olding, Michael
4194199f-96d5-4c34-90d5-bab40adf06a3
Warner, Jane A
8571b049-31bb-4a2a-a3c7-4184be20fe25
Chatelet, David S
6371fd7a-e274-4738-9ccb-3dd4dab32928
Jones, Mark G
a6fd492e-058e-4e84-a486-34c6035429c1
Sgalla, Giacomo
f7c37658-a00c-4b08-8dea-fa90b279de79
Smit, Bennie
83a5f31d-f138-4c1c-b440-ce912a6a3eb6
Larkin, Oliver J
a81f51f7-a498-4395-ba90-74291ae2f9e6
Haig, Ian
8c3dc208-c92b-4229-ab67-08dda8b45d64
Richeldi, Luca
47177d9c-731a-49a1-9cc6-4ac8f6bbbf26
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Lackie, Peter M
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad

Katsamenis, Orestis L, Olding, Michael, Warner, Jane A, Chatelet, David S, Jones, Mark G, Sgalla, Giacomo, Smit, Bennie, Larkin, Oliver J, Haig, Ian, Richeldi, Luca, Sinclair, Ian, Lackie, Peter M and Schneider, Philipp (2019) X-ray micro-computed tomography for nondestructive three-dimensional (3D) x-ray histology. The American Journal of Pathology, 189 (8), 1608-1620. (doi:10.1016/j.ajpath.2019.05.004).

Record type: Article

Abstract

Historically, micro-computed tomography (μCT) has been considered unsuitable for histologic analysis of unstained formalin-fixed, paraffin-embedded soft tissue biopsy specimens because of 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. Herein, we illustrate how μCT imaging of standard formalin-fixed, paraffin-embedded biopsy specimens can be seamlessly integrated into conventional histology workflows, enabling nondestructive 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 optimized imaging protocols, which do not require any additional sample preparation. 3D X-ray histology allows for nondestructive 3D imaging of tissue microstructure, resolving structural connectivity and heterogeneity of complex tissue networks, such as the vascular network or the respiratory tract. We also demonstrate that 3D X-ray histology can yield consistent and reproducible image quality, enabling quantitative assessment of a tissue's 3D microstructures, which is inaccessible to conventional two-dimensional histology. Being nondestructive, the technique does not interfere with histology workflows, permitting subsequent tissue characterization 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.

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AJPA 2019 148 Revision 1 accepted Pure - Accepted Manuscript
Restricted to Repository staff only until 2 May 2020.
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Accepted/In Press date: 2 May 2019
e-pub ahead of print date: 22 May 2019
Published date: August 2019
Additional Information: Copyright © 2019 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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 M 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: 29 Nov 2019 01:39

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Contributors

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

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