Reconstructed datasets of 3D nano-tomography images containing few cells of Hura crepitans fruit tissue, Pinus jeffreyi sclereid cells, a Marantochloa leucantha sclerenchyma fibre sheath and Pinus syvlestris latewood. Each sample type contains a wet state image (rh90/rh95) and a dry state image (rh0). The deformation between the states is calculated via digital volume correlations using Avizo, elastix and MBS-3D-OptFlow with the goal to identify the anisotropic hygroscopic shrinkage of the samples as well as the accuracy of the corresponding approach.

LH and FS: DFG, German Research Foundation; HE 9048/1-1); LH: European Social Fund and the Ministry of Science, Research and the Arts Baden-Württemberg within the framework of the 'Margarete von Wrangell Habilitation Programme'; KU, TM, TS: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy— EXC-2193/1–390951807; TMK, BZ-P: ErUM-Data Verbundprojekt 'KI4D4E: Ein KI-basiertes Framework für die Visualisierung und Auswertung der massiven Datenmengen der 4D-Tomographie für Endanwender von Beamlines' which is funded by the Bundesministerium für Bildung und Forschung (BMBF, Förderkennzeichen 05D23CG1).