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Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 bioRxiv 2021 ; ä (ä): ä Nephropedia Template TP
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Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography #MMPMID33564772
Walsh C; Tafforeau P; Wagner WL; Jafree DJ; Bellier A; Werlein C; Kuhnel MP; Boller E; Walker-Samuel S; Robertus JL; Long DA; Jacob J; Marussi S; Brown E; Holroyd N; Jonigk DD; Ackermann M; Lee PD
bioRxiv 2021[Feb]; ä (ä): ä PMID33564772show ga
Human organs are complex, three-dimensional and multiscale systems. Spatially mapping the human body down through its hierarchy, from entire organs to their individual functional units and specialised cells, is a major obstacle to fully understanding health and disease. To meet this challenge, we developed hierarchical phase-contrast tomography (HiP-CT), an X-ray phase propagation technique utilising the European Synchrotron Radiation Facility's Extremely Brilliant Source: the world's first high-energy 4 (th) generation X-ray source. HiP-CT enabled three-dimensional and non-destructive imaging at near-micron resolution in soft tissues at one hundred thousand times the voxel size whilst maintaining the organ's structure. We applied HiP-CT to image five intact human parenchymal organs: brain, lung, heart, kidney and spleen. These were hierarchically assessed with HiP-CT, providing a structural overview of the whole organ alongside detail of the organ's individual functional units and cells. The potential applications of HiP-CT were demonstrated through quantification and morphometry of glomeruli in an intact human kidney, and identification of regional changes to the architecture of the air-tissue interface and alveolar morphology in the lung of a deceased COVID-19 patient. Overall, we show that HiP-CT is a powerful tool which can provide a comprehensive picture of structural information for whole intact human organs, encompassing precise details on functional units and their constituent cells to better understand human health and disease.