Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas

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Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas. / Salg, Gabriel Alexander; Steinle, Verena; Labode, Jonas; Wagner, Willi; Studier-Fischer, Alexander; Reiser, Johanna; Farjallah, Elyes; Guettlein, Michelle; Albers, Jonas; Hilgenfeld, Tim; Giese, Nathalia A; Stiller, Wolfram; Nickel, Felix; Loos, Martin; Michalski, Christoph W; Kauczor, Hans-Ulrich; Hackert, Thilo; Dullin, Christian; Mayer, Philipp; Kenngott, Hannes Goetz.

in: SCI REP-UK, Jahrgang 14, Nr. 1, 02.05.2024, S. 10136.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Salg, GA, Steinle, V, Labode, J, Wagner, W, Studier-Fischer, A, Reiser, J, Farjallah, E, Guettlein, M, Albers, J, Hilgenfeld, T, Giese, NA, Stiller, W, Nickel, F, Loos, M, Michalski, CW, Kauczor, H-U, Hackert, T, Dullin, C, Mayer, P & Kenngott, HG 2024, 'Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas', SCI REP-UK, Jg. 14, Nr. 1, S. 10136. https://doi.org/10.1038/s41598-024-60254-9

APA

Salg, G. A., Steinle, V., Labode, J., Wagner, W., Studier-Fischer, A., Reiser, J., Farjallah, E., Guettlein, M., Albers, J., Hilgenfeld, T., Giese, N. A., Stiller, W., Nickel, F., Loos, M., Michalski, C. W., Kauczor, H-U., Hackert, T., Dullin, C., Mayer, P., & Kenngott, H. G. (2024). Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas. SCI REP-UK, 14(1), 10136. https://doi.org/10.1038/s41598-024-60254-9

Vancouver

Bibtex

@article{315bb93c96824ffda9e384c1f69f2dc3,
title = "Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas",
abstract = "Exocrine and endocrine pancreas are interconnected anatomically and functionally, with vasculature facilitating bidirectional communication. Our understanding of this network remains limited, largely due to two-dimensional histology and missing combination with three-dimensional imaging. In this study, a multiscale 3D-imaging process was used to analyze a porcine pancreas. Clinical computed tomography, digital volume tomography, micro-computed tomography and Synchrotron-based propagation-based imaging were applied consecutively. Fields of view correlated inversely with attainable resolution from a whole organism level down to capillary structures with a voxel edge length of 2.0 µm. Segmented vascular networks from 3D-imaging data were correlated with tissue sections stained by immunohistochemistry and revealed highly vascularized regions to be intra-islet capillaries of islets of Langerhans. Generated 3D-datasets allowed for three-dimensional qualitative and quantitative organ and vessel structure analysis. Beyond this study, the method shows potential for application across a wide range of patho-morphology analyses and might possibly provide microstructural blueprints for biotissue engineering.",
keywords = "Animals, Imaging, Three-Dimensional/methods, Pancreas/diagnostic imaging, Swine, Multimodal Imaging/methods, X-Ray Microtomography/methods, Islets of Langerhans/diagnostic imaging, Tomography, X-Ray Computed/methods",
author = "Salg, {Gabriel Alexander} and Verena Steinle and Jonas Labode and Willi Wagner and Alexander Studier-Fischer and Johanna Reiser and Elyes Farjallah and Michelle Guettlein and Jonas Albers and Tim Hilgenfeld and Giese, {Nathalia A} and Wolfram Stiller and Felix Nickel and Martin Loos and Michalski, {Christoph W} and Hans-Ulrich Kauczor and Thilo Hackert and Christian Dullin and Philipp Mayer and Kenngott, {Hannes Goetz}",
note = "{\textcopyright} 2024. The Author(s).",
year = "2024",
month = may,
day = "2",
doi = "10.1038/s41598-024-60254-9",
language = "English",
volume = "14",
pages = "10136",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas

AU - Salg, Gabriel Alexander

AU - Steinle, Verena

AU - Labode, Jonas

AU - Wagner, Willi

AU - Studier-Fischer, Alexander

AU - Reiser, Johanna

AU - Farjallah, Elyes

AU - Guettlein, Michelle

AU - Albers, Jonas

AU - Hilgenfeld, Tim

AU - Giese, Nathalia A

AU - Stiller, Wolfram

AU - Nickel, Felix

AU - Loos, Martin

AU - Michalski, Christoph W

AU - Kauczor, Hans-Ulrich

AU - Hackert, Thilo

AU - Dullin, Christian

AU - Mayer, Philipp

AU - Kenngott, Hannes Goetz

N1 - © 2024. The Author(s).

PY - 2024/5/2

Y1 - 2024/5/2

N2 - Exocrine and endocrine pancreas are interconnected anatomically and functionally, with vasculature facilitating bidirectional communication. Our understanding of this network remains limited, largely due to two-dimensional histology and missing combination with three-dimensional imaging. In this study, a multiscale 3D-imaging process was used to analyze a porcine pancreas. Clinical computed tomography, digital volume tomography, micro-computed tomography and Synchrotron-based propagation-based imaging were applied consecutively. Fields of view correlated inversely with attainable resolution from a whole organism level down to capillary structures with a voxel edge length of 2.0 µm. Segmented vascular networks from 3D-imaging data were correlated with tissue sections stained by immunohistochemistry and revealed highly vascularized regions to be intra-islet capillaries of islets of Langerhans. Generated 3D-datasets allowed for three-dimensional qualitative and quantitative organ and vessel structure analysis. Beyond this study, the method shows potential for application across a wide range of patho-morphology analyses and might possibly provide microstructural blueprints for biotissue engineering.

AB - Exocrine and endocrine pancreas are interconnected anatomically and functionally, with vasculature facilitating bidirectional communication. Our understanding of this network remains limited, largely due to two-dimensional histology and missing combination with three-dimensional imaging. In this study, a multiscale 3D-imaging process was used to analyze a porcine pancreas. Clinical computed tomography, digital volume tomography, micro-computed tomography and Synchrotron-based propagation-based imaging were applied consecutively. Fields of view correlated inversely with attainable resolution from a whole organism level down to capillary structures with a voxel edge length of 2.0 µm. Segmented vascular networks from 3D-imaging data were correlated with tissue sections stained by immunohistochemistry and revealed highly vascularized regions to be intra-islet capillaries of islets of Langerhans. Generated 3D-datasets allowed for three-dimensional qualitative and quantitative organ and vessel structure analysis. Beyond this study, the method shows potential for application across a wide range of patho-morphology analyses and might possibly provide microstructural blueprints for biotissue engineering.

KW - Animals

KW - Imaging, Three-Dimensional/methods

KW - Pancreas/diagnostic imaging

KW - Swine

KW - Multimodal Imaging/methods

KW - X-Ray Microtomography/methods

KW - Islets of Langerhans/diagnostic imaging

KW - Tomography, X-Ray Computed/methods

U2 - 10.1038/s41598-024-60254-9

DO - 10.1038/s41598-024-60254-9

M3 - SCORING: Journal article

C2 - 38698049

VL - 14

SP - 10136

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

ER -