Volumetric datasets with micrometer spatial and sub-second temporal resolutions are nowadays routinely acquired using synchrotron X-ray tomographic microscopy (SRXTM). Although SRXTM technology allows the examination of multiple samples with short scan times, many specimens are larger than the field-of-view (FOV) provided by the detector. The extension of the FOV in the direction perpendicular to the rotation axis remains non-trivial. We present a method that can efficiently increase the FOV merging volumetric datasets obtained by region-of interest tomographies in different 3D positions of the sample with a minimal amount of artefacts and with the ability to handle large amounts of data. The method has been successfully applied for the three-dimensional imaging of a small number of mouse lung acini of intact animals, where pixel sizes down to the micrometer range and short exposure times are required.
Varun Sharma, Konstantin Androsov, Xin Chen, Rakesh Chawla, Werner Lustermann, Andromachi Tsirou, Alexis Kalogeropoulos, Andrea Rizzi, Thomas Muller, David Vannerom, Albert Perez, Alessandro Caratelli, François Robert, Davide Ceresa, Yong Yang, Ajay Kumar, Ashish Sharma, Georgios Anagnostou, Kai Yi, Jing Li, Stefano Michelis, David Parker, Martin Fuchs