Borisova, ElenaLovric, GoranMiettinen, ArttuFardin, LucaBayat, SamLarsson, AndersStampanoni, MarcoSchittny, Johannes C.Schlepuetz, Christian M.2020-04-042020-04-042020-04-04202110.1007/s00418-020-01868-8https://infoscience.epfl.ch/handle/20.500.14299/167957WOS:000520818700002In this article, we present an X-ray tomographic imaging method that is well suited for pulmonary disease studies in animal models to resolve the full pathway from gas intake to gas exchange. Current state-of-the-art synchrotron-based tomographic phase-contrast imaging methods allow for three-dimensional microscopic imaging data to be acquired non-destructively in scan times of the order of seconds with good soft tissue contrast. However, when studying multi-scale hierarchically structured objects, such as the mammalian lung, the overall sample size typically exceeds the field of view illuminated by the X-rays in a single scan and the necessity for achieving a high spatial resolution conflicts with the need to image the whole sample. Several image stitching and calibration techniques to achieve extended high-resolution fields of view have been reported, but those approaches tend to fail when imaging non-stable samples, thus precluding tomographic measurements of large biological samples, which are prone to degradation and motion during extended scan times. In this work, we demonstrate a full-volume three-dimensional reconstruction of an intact rat lung under immediate post-mortem conditions and at an isotropic voxel size of (2.75 mu m)(3). We present the methodology for collecting multiple local tomographies with 360 degrees extended field of view scans followed by locally non-rigid volumetric stitching. Applied to the lung, it allows to resolve the entire pulmonary structure from the trachea down to the parenchyma in a single dataset. The complete dataset is available online ().Cell BiologyMicroscopyx-ray tomographyfast tomographyimage reconstructionlarge volume tomographylung imagingpulmonary acinar mechanicsphasemicrotomographystoragestrainimagecttext::journal::journal article::research article