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

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, Christian; Mayer, P.; Kenngott, H.G.

doi:10.1038/s41598-024-60254-9

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

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Dullin, Christian
Research Group of Translational Molecular Imaging, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

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Citation

Salg, G., Steinle, V., Labode, J., Wagner, W., Studier-Fischer, A., Reiser, J., et al. (2024). Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas. Scientific Reports, 14: 10136. doi:10.1038/s41598-024-60254-9.

Cite as: https://hdl.handle.net/21.11116/0000-000F-536E-9

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.