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Instruments / Technical Area	Publication Details	Published	Actions
I13-2-Diamond Manchester Imaging	Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms Ivo M. Baltruschat , Hanna Cwieka , Diana Krüger , Berit Zeller-Plumhoff , Frank Schlünzen , Regine Willumeit-Römer , Julian Moosmann , Philipp Heuser Scientific Reports 11 DOI: 10.1038/s41598-021-03542-y Diamond Proposal Number(s): [22346] Open Access Show Abstract ▼ Abstract: Highly accurate segmentation of large 3D volumes is a demanding task. Challenging applications like the segmentation of synchrotron radiation microtomograms (SRμCT) at high-resolution, which suffer from low contrast, high spatial variability and measurement artifacts, readily exceed the capacities of conventional segmentation methods, including the manual segmentation by human experts. The quantitative characterization of the osseointegration and spatio-temporal biodegradation process of bone implants requires reliable, and very precise segmentation. We investigated the scaling of 2D U-net for high resolution grayscale volumes by three crucial model hyper-parameters (i.e., the model width, depth, and input size). To leverage the 3D information of high-resolution SRμCT, common three axes prediction fusing is extended, investigating the effect of adding more than three axes prediction. In a systematic evaluation we compare the performance of scaling the U-net by intersection over union (IoU) and quantitative measurements of osseointegration and degradation parameters. Overall, we observe that a compound scaling of the U-net and multi-axes prediction fusing with soft voting yields the highest IoU for the class “degradation layer”. Finally, the quantitative analysis showed that the parameters calculated with model segmentation deviated less from the high quality results than those obtained by a semi-automatic segmentation method.	Dec 2021
I13-2-Diamond Manchester Imaging	Evaporation kinetics in highly porous tetrapodal zinc oxide networks studied using in situ SRµCT Birte Hindenlang , Anna Gapeeva , Martina J. Baum , Sören Kaps , Lena M. Saure , Florian Rasch , Jorg Hammel , Julian Moosmann , Malte Storm , Rainer Adelung , Fabian Schütt , Berit Zeller-Plumhoff Scientific Reports 11 DOI: 10.1038/s41598-021-99624-y Diamond Proposal Number(s): [19205] Open Access Show Abstract ▼ Abstract: Tetrapodal zinc oxide (t-ZnO) is used to fabricate polymer composites for many different applications ranging from biomedicine to electronics. In recent times, macroscopic framework structures from t-ZnO have been used as a versatile sacrificial template for the synthesis of multi-scaled foam structures from different nanomaterials such as graphene, hexagonal boron nitride or gallium nitride. Many of these fabrication methods rely on wet-chemical coating processes using nanomaterial dispersions, leading to a strong interest in the actual coating mechanism and factors influencing it. Depending on the type of medium (e.g. solvent) used, different results regarding the homogeneity of the nanomaterial coating can be achieved. In order to understand how a medium influences the coating behavior, the evaporation process of water and ethanol is investigated in this work using in situ synchrotron radiation-based micro computed tomography (SRµCT). By employing propagation-based phase contrast imaging, both the t-ZnO network and the medium can be visualized. Thus, the evaporation process can be monitored non-destructively in three dimensions. This investigation showed that using a polar medium such as water leads to uniform evaporation and, by that, a homogeneous coating of the entire network.	Oct 2021

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