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Abstract: Accurately estimating developmental age and life history traits in fossils is crucial for identifying and classifying extinct species and understanding how biological attributes evolved. The evolution of life history traits such as growth pattern is far from clear in birds, and development has been studied in only a handful of modern species. The exceptionally rapid growth of modern birds means ageing methods based on annual incremental growth lines, used in other vertebrates, are inapplicable to birds and robust alternative methods remain to be established. Analysis of avian intracortical bone microstructure, which varies both with age and tissue deposition rate, is a promising approach already used in palaeobiology. However, current thin section-based histological methods are destructive. Moreover, to date, most microstructural studies in avian bone are qualitative, 2D, and involve a limited range of extant species. The objective of this study was to investigate cortical bone microstructure and developmental age and life history traits in living birds, to identify phenotypes which can then be applied to examination of the fossil record, using minimally-destructive high-resolution 3D imaging. First, the necessity of 3D measurement was tested: a combination of idealised, simulated datasets and real synchrotron-based computed tomography (SR CT) datasets were used to compare published methods for measuring key microstructural traits based on 2D sections and 3D volumes. Next, SR CT imaging and quantitative measurements were used to characterise age-related changes in bone microstructure in a range of extant bird species: growth series ducks and pheasants, and a smaller sample size in starlings, rock doves, partridges, and ostrich. The methods tested in modern material were applied to fossils as a proof-of concept. It was found that 3D quantification methods are required for measuring vascular canal orientation and osteocyte lacunar shape and volume, though 2D sections could be used to measure traits such as bone volume fraction (BV/TV) and osteocyte lacunar volume. In all species studied, juvenile, subadult, and adult species could be distinguished by their values of BV/TV, and further information could be added using measured values of vascular canal diameter as well as qualitative assessment. Using a synchrotron-based CT system, high-resolution 3D datasets comparable to modern bone samples were obtained from fossils, and preliminary estimates of developmental age can be made. Further work may reveal more changes within juvenile age stages, and better characterise the variation within extant birds, allowing more accurate interpretation of the fossil record. Therefore developmental studies in a greater number of extant bird species are required using larger sample sizes, to support and add to the results presented in this thesis.

Open Access

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Abstract: We present a flyscan compatible acquisition scheme for three-modal X-Ray Computed Tomography (CT) with two-dimensional phase sensitivity. Our approach is demonstrated using a “beam tracking” setup, through which a sample’s attenuation, phase (refraction) and scattering properties can be measured from a single frame, providing three complementary contrast channels. Up to now, such setups required the sample to be stepped at each rotation angle to sample signals at an adequate rate, to prevent resolution losses, anisotropic resolution, and under-sampling artefacts. However, the need for stepping necessitated a step-and-shoot implementation, which is affected by motors’ overheads and increases the total scan time. By contrast, our proposed scheme, by which continuous horizontal and vertical translations of the sample are integrated with its rotation (leading to a “cycloidal-spiral” trajectory), is fully compatible with continuous scanning (flyscans). This leads to greatly reduced scan times while largely preserving image quality and isotropic resolution.

Open Access

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Abstract: Nature-inspired material design is driven by superior properties found in natural architected materials and enabled by recent developments in additive manufacturing and machine learning. Existing approaches to push design beyond biomimicry typically use supervised deep learning algorithms to predict and optimize properties based on experimental or simulation data. However, these methods constrain generated material designs to abstracted labels and to “black box” outputs that are only indirectly manipulable. Here we report an alternative approach using an unsupervised generative adversarial network (GAN) model. Training the model on unlabeled data constructs a latent space free of human intervention, which can then be explored through seeding, image encoding, and vector arithmetic to control specific parameters of de novo generated material designs and to push them beyond training data distributions for broad applicability. We illustrate this end-to-end with new materials inspired by leaf microstructures, showing how biological 2D structures can be used to develop novel architected materials in 2 and 3 dimensions. We further utilize a genetic algorithm to optimize generated microstructures for mechanical properties, operating directly on the latent space. This approach allows for transfer of information across manifestations using the latent space as mediator, opening new avenues for exploration of nature-inspired materials.

Open Access

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Abstract: The 3D complexity of biological tissues and intricate structural-functional connections call for state-of-the-art X-ray imaging approaches to overcome limitations of classical imaging. Unlike other imaging techniques, X-ray phase-contrast tomography (XPCT) offers a highly sensitive 3D imaging approach to investigate different disease-relevant networks at levels ranging from single cell through to intact organ. We present here a concomitant study of the evolution of tissue damage and inflammation in different organs affected by the disease in the murine model for multiple sclerosis, a demyelinating autoimmune disorder of the central nervous system. XPCT identifies and monitors structural and cellular alterations throughout the central nervous system, but also in the gut, and eye, of mice induced to develop multiple sclerosis-like disease and sacrificed at pre-symptomatic and symptomatic time points. This study details the sequential evolution of multi-organ damages in the murine multiple sclerosis model showing the disease development and progression which is of relevance for the human case.

Open Access

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Abstract: X-ray synchrotron radiation allows the investigation of many physical processes in unprecedented ways. One application, important to the fine chemicals industry, is characterizing the early stages of crystallization. To aid chemical engineers working in this area we developed the CrystalGrowthTracker package. It allows crystals to be found in videos and their growth rates measured, see Figure 1. We hope that this work can provide the basis for fully automated and 3D systems.