bioRxivPhysiologyPreprint
Optimizing large organ scale micro computed tomography imaging in pig and human hearts using a novel air-drying technique
N. Pallares-Lupon, G. S. Ramlugun, V. Ozenne, J. Duchateau, A. Delgove, J. D. Bayer, A. Moreno, M. Constantin, D. Gerneke, G. B. Sands, M. L. Trew, M. Hocini, M. Haissaguerre, E. J. Vigmond, B. Quesson, O. Bernus, R. D. Walton
Abstract
Underlying electrical propagation in the heart and potentially fatal arrhythmia is the cardiac microstructure. Despite the critical role of muscle architecture, a non-destructive approach to examine not only myocyte orientation, but cellular arrangement in to laminar organization is lacking in hearts from translational animal models and humans. X-ray micro computed tomography using contrast enhancing agents achieves three-dimensional images at near-histological resolutions. However, imaging large mammalian hearts presents challenges including X-ray over-attenuation and loss of image contrast. The goal of this study was to rethink tissue pre-treatment to optimize, and benefit from micro computed tomography imaging resolution in large tissues. Whole pig and human hearts were dehydrated and perfused with a tissue reinforcing agent, hexamethyldisilazane, and slowly air-dried. Heart morphology was conserved and temporally stable. This enabled direct air-mounting for micro computed tomography imaging. Moreover, the desiccated tissue density was significantly reduced compared to the initial hydrated state (P=0.04). Three-dimensional image reconstructions of air-dried hearts segmented using a single intensity threshold revealed detailed microstructural architecture of myolaminae. Conversely, one-step segmentation of hearts loaded with contrast agents poorly estimated the gross anatomical morphology of the heart and lacked identification of tissue microarchitecture. Air-drying large mammalian hearts optimizes X-ray imaging of cardiac microstructure.
- organism: human
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: experimental assay
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