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Understanding bubble behaviour under ultrasound excitation is key for applications like industrial cleaning and biomedical treatments. Our previous work demonstrated that ultrasound-induced shape instabilities in microbubbles generate periodic jets capable of puncturing cells and enabling targeted drug delivery (Cattaneo et al., 2024). This study investigates the physics of these instabilities in a controlled setup involving individual micrometric air bubbles on rigid substrates. Using a dual-view imaging system combining visible light and phase-contrast x-ray radiation, we capture high-speed, high-resolution recordings on bubble shape dynamics. Four distinct response regimes are identified: spherical oscillations, harmonic meniscus waves, half-harmonic axisymmetric shape mode, and mixed shape mode. The half-harmonic modes arise from Faraday instability, with pressure thresholds aligning well with classical interface stability theory adapted for rigid substrates. Simulations using a 3D boundary element method closely match experimental observations, validating this approach for predicting bubble dynamics. The shape mode spectrum shows degeneracy and a continuous range of mode degrees, consistent with our theoretical predictions. Shape modes achieve higher amplitudes than volumetric modes, making them more effective at converting acoustic energy into kinetic energy. These modes generate substrate-directed jets when a lobe folds inward with sufficient acceleration. This process recurs with each cycle of the shape mode and has the potential to damage the substrate. These jets represent a new class of bubble jets, distinct from classical single inertial jets that form under high-pressure gradients during bubble collapse, as they are cyclic, driven by an interfacial instability, and occur at much lower acoustic intensities.

X-ray multi-projection imaging (XMPI) provides rotation-free 3D movies of optically opaque samples. The absence of rotation enables superior imaging speed and preserves fragile sample dynamics by avoiding the shear forces introduced by conventional rotary tomography. Here, we present our XMPI observations at the ID19 beamline (ESRF, France) of 3D dynamics in melted aluminum with 1000 frames per second and 8 $\mu$m resolution per projection using the full dynamical range of our detectors. Since XMPI is a method under development, we also provide different tests for the instrumentation of up to 3000 frames per second. As the flux of X-ray sources grows globally, XMPI is a promising technique for current and future X-ray imaging instruments., Comment: 12 pages, 7 figures

Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes, fundamental to nuclear fusion energy, advanced manufacturing, green transportation and others, often involve one mole or more atoms, and thus are challenging to compute by using the first principles of quantum physics or other forward models. One of the central problems in U-RadIT is to optimize information yield through, e.g. high-luminosity X-ray and particle sources, efficient imaging and tracking detectors, novel methods to collect data, and large-bandwidth online and offline data processing, regulated by the underlying physics, statistics, and computing power. We review and highlight recent progress in: a.) Detectors; b.) U-RadIT modalities; c.) Data and algorithms; and d.) Applications. Hardware-centric approaches to U-RadIT optimization are constrained by detector material properties, low signal-to-noise ratio, high cost and long development cycles of critical hardware components such as ASICs. Interpretation of experimental data, including comparisons with forward models, is frequently hindered by sparse measurements, model and measurement uncertainties, and noise. Alternatively, U-RadIT make increasing use of data science and machine learning algorithms, including experimental implementations of compressed sensing. Machine learning and artificial intelligence approaches, refined by physics and materials information, may also contribute significantly to data interpretation, uncertainty quantification, and U-RadIT optimization., Comment: 52 pages, 32 figures; Overview of ultrafast radiographic imaging and tracking as a part of ULITIMA 2023 conference, Mar. 13-16,2023, Menlo Park, CA, USA

X-ray Fluorescence Ghost Imaging (XRF-GI) was recently demonstrated for x-ray lab sources. It has the potential to reduce acquisition time and deposited dose by choosing their trade-off with spatial resolution, while alleviating the focusing constraints of the probing beam. Here, we demonstrate the realization of synchrotron-based XRF-GI: We present both an adapted experimental setup and its corresponding required computational technique to process the data. This extends the above-mentioned potential advantages of GI to synchrotron XRF imaging. In addition, it enables new strategies to improve resilience against drifts at all scales, and the study of previously inaccessible samples, such as liquids., Comment: 4 pages, 5 figures

Ever since the very first human-made knapped tools, the control of fracture propagation in brittle materials has been a vector of technological development. Nowadays, a broad range of applications relies on crack propagation control, from the mitigation of damages, e.g., from impacts in glass screens or windshields, to industrial processes harnessing fracture to achieve clean cuts over large distances. Yet, studying the fracture in real time is a challenging task, since cracks can propagate up to a few km/s in materials that are often opaque. Here, we report on the in situ investigation of cracks propagating at up to 2.5 km/s along a (001) plane of a silicon single crystal, using X-ray diffraction megahertz imaging with intense and time-structured synchrotron radiation. The studied system is based on the Smart Cut process, where a buried layer in a material (typically Si) is weakened by micro-cracks and then used to drive a macroscopic crack (0.1 m) in a plane parallel to the surface with minimal deviation (1 nm). The results we report here provide the first direct confirmation that the shape of the crack front is not affected by the distribution of the micro-cracks, which had been a postulate for previous studies based on post-fracture results. We further measured instantaneous crack velocities over the centimeter-wide field-of-view, which had only been previously inferred from sparse point measurements, and evidence the effect of local heating by the X-ray beam. Finally, we also observed the post-crack movements of the separated wafer parts, which can be explained using pneumatics and elasticity. Thus, this study provides a comprehensive view of controlled fracture propagation in a crystalline material, paving the way for the in situ measurement of ultra-fast strain field propagation., Comment: 4 figures

Spatial light modulation is important for many scientific and industrial applications. The spatial light modulator and optical data projector both rely on precisely configurable optical elements to shape a light beam. Here we explore an image-projection approach which does not require a configurable beam-shaping element. We term this approach ghost projection on account of its conceptual relation to computational ghost imaging. Instead of a configurable beam shaping element, the method transversely displaces a single illuminated mask, such as a spatially-random screen, to create specified distributions of radiant exposure. The method has potential applicability to image projection employing a variety of radiation and matter wave fields, such as hard x rays, neutrons, muons, atomic beams and molecular beams. Building on our previous theoretical and computational studies, we here seek to understand the effects, sensitivity, and tolerance of some key experimental limitations of the method. Focusing on the case of hard x rays, we employ experimentally acquired masks to numerically study the deleterious effects of photon shot noise, inaccuracies in random-mask exposure time, and inaccuracies in mask positioning, as well as adapting to spatially non-uniform illumination. Understanding the influence of these factors will assist in optimizing experimental design and work towards achieving ghost projection in practice., Comment: V2: 24 pages, 7 figures, 7 tables. Several sentences and paragraphs were added in response to reviewer comments to improve the clarity of the manuscript