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There is a growing interest in developing 3D microscopy for the exploration of thick biological tissues. Recently, 3D X-ray nanocomputerised tomography has proven to be a suitable technique for imaging the bone lacunocanalicular network. This interconnected structure is hosting the osteocytes which play a major role in maintaining bone quality through remodelling processes. 3D images have the potential to reveal the architecture of cellular networks, but their quantitative analysis remains a challenge due to the density and complexity of nanometre sized structures and the need to handle and process large datasets, for example, 20483 voxels corresponding to 32 GB per individual image in our case. In this work, we propose an efficient image processing approach for the segmentation of the network and the extraction of characteristic parameters describing the 3D structure. These parameters include the density of lacunae, the porosity of lacunae and canaliculi, and morphological features of lacunae (volume, surface area, lengths, anisotropy etc.). We also introduce additional parameters describing the local environment of each lacuna and its canaliculi. The method is applied to analyse eight human femoral cortical bone samples imaged by magnified X-ray phase nanotomography with a voxel size of 120 nm, which was found to be a good compromise to resolve canaliculi while keeping a sufficiently large field of view of 246 μm in 3D. The analysis was performed on a total of 2077 lacunae showing an average length, width and depth of 17.1 μm × 9.2 μm × 4.4 μm, with an average number of 58.2 canaliculi per lacuna and a total lacuno-canalicular porosity of 1.12%. The reported descriptive parameters provide information on the 3D organisation of the lacuno-canalicular network in human bones.

X-ray phase tomography aims at reconstructing the 3D electron density distribution of an object. It offers enhanced sensitivity compared to attenuation-based X-ray absorption tomography. In propagation-based methods, phase contrast is achieved by letting the beam propagate after interaction with the object. The phase shift is then retrieved at each projection angle, and subsequently used in tomographic reconstruction to obtain the refractive index decrement distribution, which is proportional to the electron density. Accurate phase retrieval is achieved by combining images at different propagation distances. For reconstructions of good quality, the phase-contrast images recorded at different distances need to be accurately aligned. In this work, we characterise the artefacts related to misalignment of the phase-contrast images, and investigate the use of different registration algorithms for aligning in-line phase-contrast images. The characterisation of artefacts is done by a simulation study and comparison with experimental data. Loss in resolution due to vibrations is found to be comparable to attenuation-based computed tomography. Further, it is shown that registration of phase-contrast images is nontrivial due to the difference in contrast between the different images, and the often periodical artefacts present in the phase-contrast images if multilayer X-ray optics are used. To address this, we compared two registration algorithms for aligning phase-contrast images acquired by magnified X-ray nanotomography: one based on cross-correlation and one based on mutual information. We found that the mutual information-based registration algorithm was more robust than a correlation-based method.

In bone remodeling, maturation of the newly formed osteonal tissue is associated with a rapid primary increase followed by a slower secondary increase of mineralization. This requires supply and precipitation of mineral into the bone matrix. Mineral delivery can occur only from the extracellular fluid via interfaces such as the Haversian system and the osteocyte pore network. We hypothesized that in mineralization, mineral exchange is achieved by the diffusion of mineral from the lacunar-canalicular network (LCN) to the bone matrix, resulting in a gradual change in tissue mineralization with respect to the distance from the pore-matrix interface. We expected to observe alterations in the mass density distribution with tissue age. We further hypothesized that mineral exchange occurs not only at the lacunar but also at the canalicular boundaries. The aim of this study was, therefore, to investigate the spatial distribution of mass density in the perilacunar and pericanalicular bone matrix and to explore how these densities are influenced by tissue aging. This is achieved by analyzing human jawbone specimens originating from four healthy donors and four treated with high-dosage bisphosphonate using synchrotron radiation phase-contrast nano-CT with a 50-nm voxel size. Our results provide the first experimental evidence that mass density in the direct vicinity of both lacunae (p

The architectural properties of the osteocyte cell network provide a valuable basis for understanding the mechanisms of bone remodelling, mineral homeostasis, ageing and pathologies. Recent advance ...

Purpose: The fundamental role of the osteocyte cell network in regulating the bone remodeling has become evident in the last years. This has raised the necessity to explore this complex three-dimensional interconnected structure, but the existing investigation methods cannot provide an adequate assessment. The authors propose to use parallel beam synchrotron radiation computed tomography at the nanoscale to image in three dimensions the osteocyte lacunocanalicular network. To this aim, the authors study the feasibility of this technique and present an optimized imaging protocol suited for the bone cell network. Moreover, they demonstrate the multifaceted information provided by this method. Methods: The high brilliance of synchrotron radiation combined with state of art detectors permits reaching nanoscale spatial resolution. With a nominal pixel size of 280 nm, the parallel beam computed tomography setup at the ID19 experimental station of the ESRF is capable of imaging the bone lacunocanalicular network, considering that the reported diameter of canaliculi is in the range 300–600 nm. However, the actual resolution is limited by the detector and by the radiationdose causing sample damage during the scan. The authors sought to overcome these limitations by optimizing the imaging setup and the acquisition parameters in order to minimize the necessary radiationdose to create the images and to improve the spatial resolution of the detector. Results: The authors achieved imaging of the osteocyte cell network in human bone. Due to the optimization of the imaging setup and acquisition parameters, they obtained simultaneously a radiationdose reduction and an increase of the signal to noise ratio in the images. This permitted the authors to generate the first three-dimensional images of the lacunocanalicular network in an area covering several osteons, the fundamental functional units in the bone cortex. The method enables assessment of both architectural parameters of the microporosity and of mineralization degree in the bone matrix. The authors found that the cell network is dense and connected inside osteonal tissue. Conversely, the cell lacunae are sparse, unorganized, and disconnected in interstitial tissue. Conclusions: The authors show that synchrotron radiation computed tomography is a feasible technique to assess the lacunocanalicular network in three dimensions. This is possible due to an optimal imaging setup in which the detector plays an important role. The authors could establish two valid setups, based on two different insertion devices. These results give access to new information on the bone cell network architecture, covering a number of cells two orders of magnitude greater than existing techniques. This enables biomedical studies on series of samples, paving the way to better understanding of bone fragility and to new treatments for bone diseases.