research papers
Indirect detector for ultra-high-speed X-ray micro-imaging with increased sensitivity to near-ultraviolet scintillator emission
aESRF – The European Synchrotron, 38043 Grenoble Cedex 9, France, bHenry Royce Institute, Department of Materials, The University of Manchester, Manchester, United Kingdom, cKarlsruhe Institut of Technology, 76034 Eggenstein-Leopoldshafen, Germany, dInstitut Laue-Langevin, 38042 Grenoble Cedex 9, France, eProfessorship for Fluid Systems Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany, and fOptique Peter, 69210 Lentilly, France
*Correspondence e-mail: lukic@esrf.fr
Ultra-high-speed synchrotron-based hard X-ray (i.e. above 10 keV) imaging is gaining a growing interest in a number of scientific domains for tracking non-repeatable dynamic phenomena at spatio-temporal microscales. This work describes an optimized indirect X-ray imaging microscope designed to achieve high performance at micrometre pixel size and megahertz acquisition speed. The entire detector optical arrangement has an improved sensitivity within the near-ultraviolet (NUV) part of the emitted spectrum (i.e. 310–430 nm wavelength). When combined with a single-crystal fast-decay scintillator, such as LYSO:Ce (Lu2−xYxSiO5:Ce), it exploits the potential of the NUV light-emitting scintillators. The indirect arrangement of the detector makes it suitable for high-dose applications that require high-energy illumination. This allows for synchrotron single-bunch hard X-ray imaging to be performed with improved true spatial resolution, as herein exemplified through pulsed wire explosion and superheated near-nozzle gasoline injection experiments at a pixel size of 3.2 µm, acquisition rates up to 1.4 MHz and effective exposure time down to 60 ps.
1. Introduction
Exploiting the pulsed nature of synchrotron radiation sources has led to an increased interest in time-resolved imaging studies of probing materials under dynamic transient phenomena of a non-repetitive nature (Wang et al., 2023). Optically opaque solids, as well as optically obscured fluids, can be studied in full field at spatio-temporal microscales under extreme conditions, in situ. These span over shock loading (Escauriza et al., 2020; Pradel et al., 2022), high loading rates (Hudspeth et al., 2013; Lukić et al., 2024; Zielinski et al., 2023), turbulent flow jetting (Wang et al., 2008; Lee et al., 2011), cavitation bubble dynamics and coalescence (Fezzaa & Wang, 2008; Bokman et al., 2023), as well as hydrodynamic instabilities at shock-accelerated interfaces during fusion-relevant scenarios (Maler et al., 2022; Strucka et al., 2023; Montgomery, 2023), to mention a few. Aside from intrinsically occurring on microsecond scales (e.g. crack propagation and fragmentation of solids), many of these applications often require additional environments (i.e. opaque sample holders, confinement or vacuum chambers, high-temperature furnaces, cryogenic or host fluid environments), which make the phenomena of interest difficult to probe. Hard X-rays, such as those emitted by third- and fourth-generation synchrotron storage ring facilities (Raimondi et al., 2023), provide a unique opportunity to access through-volume information at high spatio-temporal scales owing to high and high photon energy (i.e. above 10 keV) (Rack, 2020). Under such extreme conditions, an adequate imaging measurement able to well discretize the phenomena is the result of an interaction with a small integer number (i.e. multi-bunch or single bunch) X-ray pulse. While the temporal resolution in the former is dictated by the detector shutter speed (of the order of several 10 ns), in the latter, the ultimate temporal resolution depends on the storage ring radio frequency and single-bunch duration (of the order of several 10 ps). In both situations, the recorded is a result of the X-ray pulse(s) of a single or small integer number of bunches impinging the detector, consequently resulting in a limited photon count that scales with the maximum current that a stable single electron bunch in the storage ring can carry, as well as the detector spatial sampling. Therefore, a suitable imaging detector needs to have sufficient sensitivity to capture a recording of multiple consecutive frames in order to directly observe potentially unique dynamics occurring at the micrometre and microsecond scales, with the ability to map the entire temporal response of a sample, since phenomena of interest can be inherently unpredictable.
In this article, an optimized indirect detector near-ultraviolet (NUV) sensitive X-ray microscope, developed and designed by Optique Peter (France), is presented, with the optical components [i.e the objective lens, the reflective mirror and the tube lens (Douissard et al., 2012)] matched to the emission spectra of an LYSO:Ce scintillator. The detector enables reaching of 10× magnification with higher efficiency (up to four times) compared with conventional microscopy tandems, allowing ultra-fast single-bunch microscopy with white beam radiation to be achieved with unprecedented spatio-temporal resolution.
2. State of the art
Historically, the developments of (ultra)fast area X-ray detectors have been driven by X-ray imaging and X-ray diffraction measurements. The introduction of direct pixelated array detectors (PADs) as a combination of Si-based diode and charge-coupled device imagers on a pixel-to-pixel base alleviated the time-sampling limits of using mechanical X-ray chopper systems to isolate single or multiple X-ray bunches from the pulsed source (Cammarata et al., 2009). The use of PADs also stimulated the detection schemes towards exploiting the natural timing modes of the synchrotron and pulsed operation of (FEL) X-ray radiation sources (Barna et al., 1997; Gruner et al., 2002). The high charge sensitivity of these devices has made them suitable due to their high especially in low-signal applications such as in ultra-fast diffraction imaging (van Driel et al., 2020). Further advancement to hybrid complementary metal-oxide-semiconductor technologies allowed reaching of sub-nanosecond exposure times with a relatively large pixel count per acquired frame (Allahgholi et al., 2015; Philipp et al., 2016). Single-shot exposure detectors allowed for reaching of the unprecedented temporal resolution of the order of femtoseconds by isolating single-bunch structures emitted by X-ray FELs (Katagiri et al., 2023; Schropp et al., 2015). However, the stayed limited due to low peak energies (i.e. below 10 keV). Some recent developments focused on GaAs-based detectors leading to a decreased pixel size with higher sensitivity to X-rays in the 10–20 keV range, extending the direct detector possibilities to in-line phase-contrast imaging within ultra-fast X-ray holography with nanosecond sampling (Hart et al., 2019; Hodge et al., 2022). Despite the efforts in detector developments with higher Z number for imaging applications (Fardin et al., 2023), these direct detector solutions seem less adapted for full-field multi-frame imaging under high-flux white beam radiation (i.e. with a considerable amount of the spectral component above 20 keV as in the case when white undulator radiation is applied) (Hatsui & Graafsma, 2015; Rack et al., 2010; Ruat & Ponchut, 2014).
Indirect X-ray detectors have demonstrated a higher degree of versatility with sufficient radiation hardness while having an improved spatial resolution with adequate sensitivity for high-dose imaging applications (Hartmann et al., 1975). Radiation hardness of the detection arrangement can be further improved when the luminescence image emitted by a scintillator is folded away from the radiation axis via a mirror (usually 90°) and projected onto the photo-detector (Bonse & Busch, 1996). This configuration also allows the use of infinity-corrected optics in terms of magnification, which, apart from versatility and flexibility, enables pushing of the resolution limits (Koch, 1994). When used in conjunction with single-crystal scintillators and microscope objectives, these detectors can reach a spatial resolution close to the visible-light diffraction limit, while in combination with powder-based scintillators, single photon-count capabilities have been demonstrated (Koch et al., 1998; Martin & Koch, 2006; Pauwels & Douissard, 2022). Consequently, indirect detectors with a folding mirror have gained widespread use in white beam imaging end-stations that utilize hard X-rays (Douissard et al., 2012). Eventually, the scintillator afterglow presents a limit on the temporal resolution and the assembly needs to employ a fast-decay single-crystal scintillator if an ultra-fast visible-light-imaging camera is deployed. Such configurations rely on the use of scintillators, which have a shorter than the bunch spacing in the storage ring and are used for (ultra fast) X-ray radioscopy within various arrangements (Rack et al., 2013; Sinclair et al., 2021; Escauriza et al., 2018). Typically, the indirect detectors are well suited for phase-contrast imaging, which exploits the (partial spatial) coherence properties of the synchrotron light source. Within the most common arrangement, the imaging of the edge-enhanced modality of the object of interest is obtained by propagation, i.e. by leaving a propagation space between the sample and the imaging detector (Snigirev et al., 1995; Cloetens et al., 1996; Wilkins et al., 1996). When combined with a burst-on-board ultra-fast framing sensor, such as that of the Hyper Vision HPV-X2 (Shimadzu Corp., Japan) (Kuroda et al., 2016), single-bunch multiple-frame video recordings of X-ray phase-contrast radioscopy are achieved with remarkable contrast and sampling (Olbinado et al., 2017). This type of optical arrangement has recently been demonstrated to have the potential to reach frame rates close to the native radio frequency of the storage ring with gigahertz sampling (Rack et al., 2024).
However, with their cascade configuration, the ; Koch et al., 1998), inevitably leading to an overall low when considering a monochromatic X-ray beam in the hard regime (Stampanoni et al., 2002). This becomes a further challenge in applications that necessitate a larger numerical aperture (NA) (i.e. small pixel size/high optical magnification), such as in ultra-fast X-ray microscopy with intense white beam radiation comprising a significant hard spectral component (Mertens & Chawla, 2015; Riva, 2016). While the driving parameters are the and light emittance, which are dictated by the adopted scintillator material, another important parameter is the of the entire optical system downstream of the scintillating material (Martin et al., 2009). This parameter is commonly improved by increasing the NA of the objective lens to augment the solid-angle coverage at the expense of the reduced depth of field. In addition, tuning the scintillating peak emittance wavelength (e.g. according to the Abbe criterion: d ≃ λ/2NA) can provide additional improvements. However, given the restrictions of the optical elements, such can be also achieved by adequate matching of the spectral properties of the optical components involved with the peak emittance wavelength of the scintillator. For ultra-fast and single-bunch imaging, the fast-decay LYSO (Lu2–xYxSiO5:Ce) scintillator with a of 40 ns and negligible afterglow is a well used single-crystal material for single-bunch imaging (Pidol et al., 2004; Rutherford et al., 2016), given the bunch separation of operating synchrotron storage rings [e.g. 4-bunch with 704 ns and 16-bunch with 176 ns at the European Synchrotron Radiation Facility (ESRF); 24-bunch with 153 ns at Advanced Photon Source]. However, more than 50% of the scintillator emitted light is within the NUV regime (i.e. 310–430 nm), where most of the optical microscopes have reduced spatial as well as reduced transmittance and/or reflectivity.
of indirect detectors is driven by a wide range of parameters owing to the multiple optical components involved (Arndt & Gilmore, 19793. Indirect detector design
The NUV-sensitive microscope follows the standardized modular design developed by Optique Peter (France) for high-dose radiation resistance, such as in the case of intense polychromatic synchrotron hard X-ray sources (Douissard et al., 2012). The design accommodates a high level of compatibility, allowing for the use of commercially available optical components (Fig. 1). In its current form, the design consists of a high-dose scintillator head, a coated NUV-sensitive glassy carbon mirror, an interchangeable lens mount equipped with the NUV microscope (10× NUV M Plan APO, NA = 0.28, Mitutoyo, Japan) with 4.5 mm lead glass protection, an optional visible-light filter, a tube lens (F200 millimetre NUV/Vis, Mitutoyo, Japan) and a motorized camera rotation mount. The scintillator head consists of a spring mount system allowing for straightforward mounting and a fine manual adjustment of horizontal and vertical tilt of the scintillator in the object plane. The mirror has 23 mm diameter and 4 mm thickness with λ/10 flatness and UV-enhanced coating. The thickness of the mirror should be kept minimal to limit back-scattering and, therefore, potential darkening of the objective microscope lens, which is perpendicular to the beam path. Given the narrow depth of focus of the NUV microscope, the objective-lens mount is equipped with a micrometre-precision translation motor, allowing the objective lens to move and set the focal plane within the active layer (i.e. image-formation plane) within the scintillator material.
4. Characterization
In order to evaluate the benefit in terms of the overall light-collection efficiency of the NUV-sensitive microscope in contrast to standard (i.e. visible-light sensitive) microscopes, characterizations were performed at the ID19 beamline of ESRF (Grenoble, France). The detector assembly was exposed to a single harmonic 26 keV source (bandwidth = 1%) supplied by the U13 undulator (λu = 13 mm, total length = 1.6 m, gap = 22.5 mm) during the 200 mA storage ring current. Two configurations were considered utilizing both the LYSO:Ce (Hilger Crystals, UK) and LuAG:Ce (Crytur, CZ) 250 µm-thick scintillators, given their distinct contrast in the peak wavelength of the as depicted in Fig. 2. The entire detector arrangement was positioned ∼146 m away from the source. In both situations, the Hyper Vision HPV-X2 camera was utilized with the X-ray microscope with 10 ms exposure time per acquired frame. Exploiting the light from a single-harmonic undulator allows one to show the maximum performance of the indirect system in terms of spatial resolution and contrast, as no heat-load issues need to be considered, while the narrow bandwidth gives excellent phase-contrast conditions.
4.1. Light-collection efficiency
Acquisitions were performed by taking 128 frames with the comparison being made on a 200 × 200 pixel in the central part of the sensor, i.e. to show the performance of this indirect detector system compared with a detector with standard non-NUV compatible Mitutoyo lenses. The average pixel value over the entire set of frames in a single acquisition provides the amplitude of the detected signal while the standard deviation provides the overall information on the noise structure, which is expected to follow the Poisson statistic. The results are provided in Table 1. The results indicate an increase in overall efficiency of the NUV microscope, more than 2× in the case of the LYSO:Ce scintillator as well as a notable increase for the case of the LuAG:Ce scintillator, with corresponding improvement of the signal-to-noise ratio (SNR) (the increase of efficiency when using an NUV lens is not a quantitative measure here as the non-NUV lens deployed for the test has been used before and might have already been affected by darkening due to X-ray radiation). Although the effective scintillated-light-to-digital-counts conversion efficiency is 30% higher for the case of the LuAG:Ce tandem, considering the of the imaging system (Kuroda et al., 2016), the results indicate that the adequate spectral matching of optical components allows reaching of a comparable detected signal for the two cases.
|
4.2. X-ray spatial resolving power
While with visible-light illumination the resolution is limited by the diffraction limit of the optic (notably below the pixel size in the present case), in the case of X-ray illumination the attainable spatial resolution is limited by the diffraction limit of the objective lens and the match with the defect of focus of the adopted single-crystal scintillator (thickness) (Koch et al., 1998; Stampanoni et al., 2002). Adopting the approximated analytical solution provided by Koch et al. (1998) for full width at 50% of the integrated line spread function and assuming an inverse linear dependence of the optical transfer function with emitted wavelength, the approximated limit resolution for a 250 µm-thick scintillator is retrieved as 4.9 µm for the case of LuAG:Ce, and 3.7 µm for the case of LYSO:Ce. These approximations derived from the analytical solution provided by Hopkins (Hopkins & Burch, 1955) adopt a single-wavelength illumination, which can be considered as an approximation here.
In the present work, the as an overall average of each acquisition considering a 250 µm-thick scintillator. The pixel size was measured to be 3.17 µm in all cases and the results suggest that in the given configuration the smallest visible feature is close to 4 µm. However, due to the limited size of the test-pattern stage mount, the contribution of propagation-based phase contrast cannot be fully avoided. In order to more closely evaluate the overall spatial resolution at the given pixel size, the modulation transfer function (MTF) is measured by adopting the slanted-edge method (Samei et al., 1998). A GaAs [110] wafer is used as the slanted-edge target along the cleavage plane and positioned 10 mm away from the detector. To improve the contrast ratio by relying on the target's attenuation contrast, the edge is illuminated with 18 keV pink beam single harmonic. The edge angle is set to ∼5° along the vertical axis of the detector, covering a length of 250 pixels. This was considered representative since the fill factor of the HPV-X2 sensor is reported to be symmetric (Kuroda et al., 2016). The loss of visibility resulting from the difference in light yield is tuned by changing the undulator gap so that the contrast-to-noise ratio (CNR) remains comparable across different configurations. The results of the retrieved MTF for different detector configurations are presented in Fig. 4 and summarized in Table 2. While the slightly higher resolution of the visible-light-sensitive microscope can be explained by the higher of the HPV-X2 sensor, the results clearly demonstrate the improved spatial resolution of combining the NUV-sensitive microscope with the LYSO:Ce scintillator compared with the LuAG:Ce scintillator.
of the NUV-sensitive X-ray microscope is first evaluated by performing acquisitions of the X-ray resolution test pattern (Xradia Inc., model X500-200-30) with several configurations. The test pattern is illuminated with 26 keV pink beam single harmonic, which is comparable to the median energy of the polychromatic source used for single-bunch imaging. The measurement results of the test pattern are depicted in Fig. 3
|
5. Applications
Two applications of ultra-fast single-bunch X-ray micro-imaging are chosen to demonstrate the performance of the indirect detector system for real-life experiments: (1) rapid-discharge wire explosion and (2) superheated fuel injection. The experiments were carried out at the ID19 beamline of ESRF (Weitkamp et al., 2010; Rack et al., 2014) during the 4-bunch filling mode (10 mA per bunch). The polychromatic X-ray beam generated by two U32 undulator insertion devices (λu = 32 mm, total length = 3.2 m) set to a minimum gap of 11.5 mm was used to probe the fast observation phenomena. The generated polychromatic spectrum was filtered with mandatory optical elements along the 145 m-long vacuum flight tube (0.8 mm-thick diamond window and a series of thin carbon and beryllium windows) to reduce heat load by cutting out the soft part of the X-ray spectrum (Fig. 5). The beam was additionally collimated using the beamline's transfocator, located 40 m downstream from the source, consisting of 16 Be-based compound refractive lenses (CRLs). The propagation distance between the sample and the indirect detector assembly was 1.2 m, which is sufficient for the propagation-based interference between transmitted X-rays to result in an increased contrast of the material's edges while preserving the material's geometrical representation.
5.1. Wire explosion
The electrical wire explosion is a highly dynamic phenomenon that places the material and its surroundings under extreme conditions of temperature and pressure (Krasik et al., 2010). These states induce strong dynamics and phase change in the materials, and, depending on the discharge densities and host medium, different primary physical phenomena are the driving mechanisms of failure during the explosion (Chace & Moore, 2014). The wire explosion has been extensively studied from both theoretical and experimental aspects, with applications ranging from the investigation of convergent underwater shock waves to rock fracturing and the production of nano-particles. However, the knowledge of the underlying physics remains relatively elusive, mostly due to experimental limitations in probing the complex multi-physics involved in situ. During the explosion, a sudden current discharge of high-energy density transforms rapidly into heat and leading to wire expansion, metal melting and plasma formation. Spark creation often follows, as seen during arc ignition in electric fuses, making visible-light probing inadequate (De Palma & Gelet, 2017). Confined opaque environments further obscure observation of this explosive process due to the plasma creation (e.g. in ceramic fuse casing), making ultra-fast hard X-ray microscopy a highly suitable method to capture the full-field successive kinetics of wire failure (Olbinado et al., 2017; Milliere & Lavaud, 2020). For the case of electrical fuse breaking, failure often occurs in stages: Joule heating during conduction leads towards melting, pre-arcing and then arcing, which is characterized by important phenomena of the formation of a plasma channel that can maintain the current flow. Here, two distinct examples of wire explosion are presented, initiated by a high current discharge provided by a 8.8 mF capacitor and a gate thyristor switch, reaching a of 2.5 kA at 0.75 kV within 20 µs. A time series of single-bunch radiographs is depicted in Fig. 6, for a 500 µm lead wire, and in Fig. 7, for a 200 µm copper wire, as captured by the NUV X-ray microscope, marking the contrast in failure dynamics limited by differences in wire conductive properties.
5.2. Fuel injection dynamics
Knowledge of fuel injection dynamics is of critical importance for building efficient combustion engines (Bornschlegel et al., 2021). The fluid dynamics occurring in the injector and at its exit directly affect the fuel-spray characteristics, which determine the engine efficiency and emission. Despite its importance, however, there have been only a few observations of the time-dependent structure of the fuel spray, especially in the near field of the developing spray close to the injector.
This is mainly due to the strong refraction and scattering effects occurring for radiation in the visible spectrum that render the spray completely opaque in the first 10–20 mm from the nozzle exit typically.
Sprays are ubiquitous, with extremely complex hydrodynamics occurring on small spatio-temporal scales. Spray flow is typically a multi-component, non-linear, highly turbulent, high-speed and high-pressure phenomenon and is extremely challenging to study, both theoretically and experimentally. The limitation of studying spray dynamics within visible light is limited by the fact that: (1) visible-light rays cannot penetrate regions where there are a lot of air–liquid interfaces, e.g. regions with large numbers of small droplets; and (2) even in regions where there can be a sufficient light transmission, it remains relatively difficult to extract quantitative information as a result of multiple scattering opportunities along light-ray paths, i.e. there is no longer a simple straight line-of-sight correspondence between the image and the object. While the second problem does exist with X-ray phase-contrast imaging (i.e. due to refraction), it is several orders of magnitude smaller compared with visible light, since the of typical liquids is 106–107 smaller with hard X-rays compared with visible light. Furthermore, the of hard X-ray radiation allows observation of the intricate turbulence taking place subsurface within the injection nozzle.
An example of the multi-bunch X-ray radioscopy of the rapid fuel injection event is depicted in Fig. 8. Due to refraction and optical scattering in the visual spectrum, the near-field region close to the nozzle is opaque and techniques such as shadowgraphy cannot be used to visualize the spray structures. Real-sized quartz glass fuel nozzles with two distinct injection geometries were used, considering a converging geometry (Fig. 8, bottom) and a parallel injection geometry (Fig. 8, top) with respect to the injection direction. The NUV detector assembly was coupled with a Phantom v2640 high-speed camera (Vision Research, USA), providing an effective pixel size of 2.58 µm.
Multiple X-ray pulses (of 175 ns separation) were exposed onto a single et al., 2018). A large field of view up to 8 mm away from the injection nozzle was covered, allowing the visualization of the spray break-up and droplet in the near-field region of the injector. Qualitative analysis showed that the spray structures dispersed spatially with increasing spread for the case of the converging nozzle geometry, resulting in less spray penetration and a considerable reduction of jet speed with respect to the parallel-geometry nozzle.
recorded utilizing an interframe time of 31.25 µs and an LYSO:Ce scintillator, which enabled the extraction of the velocity of the ejected fluid via autocorrelation analysis (Bornschlegel6. Summary
This work describes the development of an optimized indirect X-ray imaging microscope specifically designed to attain exceptional performance characteristics, notably achieving micrometre pixel size and a remarkable megahertz acquisition speed. The innovation in the entire detector optical arrangement relies on enhancing the sensitivity within the NUV part of the emitted spectrum, in conjunction with single-crystal fast-decay scintillators. The characterization measurements indicated a substantial increase in overall efficiency with improved SNR. The detector configuration is well suited for high-dose applications necessitating high-flux polychromatic illumination, providing an improved spatial resolution for hard X-ray single-bunch imaging. This is exemplified through the notable examples of a pulsed wire explosion and superheated near-nozzle gasoline injection experiments. These achievements include a pixel size of 3.2 µm, acquisition rates of up to 1.4 MHz and an effective exposure time of 60 ps.
Acknowledgements
We would like to thank Dr Margie P. Olbinado, Dr A. Durst and Dr T. Faragó for their help with the fuel-spray experiments.
Funding information
BL acknowledges funding from the EPSRC International Centre to Centre grant with ESRF (EP/W003333/1). The financial support from project PN-Reduktion, funded by the Federal Ministry for Economic Affairs and Energy (BMWi) under contract number 19I17011C, is gratefully acknowledged, as well as the provision of beam time by ESRF for the experiment MI-1516.
References
Allahgholi, A., Becker, J., Bianco, L., Delfs, A., Dinapoli, R., Goettlicher, P., Graafsma, H., Greiffenberg, D., Hirsemann, H., Jack, S., Klanner, R., Klyuev, A., Krueger, H., Lange, S., Marras, A., Mezza, D., Mozzanica, A., Rah, S., Xia, Q., Schmitt, B., Schwandt, J., Sheviakov, I., Shi, X., Smoljanin, S., Trunk, U., Zhang, J. & Zimmer, M. (2015). J. Instrum. 10, C01023. Web of Science CrossRef Google Scholar
Arndt, U. W. & Gilmore, D. J. (1979). J. Appl. Cryst. 12, 1–9. CrossRef CAS IUCr Journals Web of Science Google Scholar
Barna, S., Shepherd, J., Tate, M., Wixted, R., Eikenberry, E. & Gruner, S. (1997). IEEE Trans. Nucl. Sci. 44, 950–956. CrossRef CAS Web of Science Google Scholar
Bokman, G. T., Biasiori-Poulanges, L., Lukić, B., Bourquard, C., Meyer, D. W., Rack, A. & Supponen, O. (2023). Phys. Fluids, 35, 013322. CrossRef Google Scholar
Bonse, U. & Busch, F. (1996). Prog. Biophys. Mol. Biol. 65, 133–169. CrossRef CAS PubMed Web of Science Google Scholar
Bornschlegel, S., Conrad, C., Durst, A., Wang, J. & Wensing, M. (2018). Int. J. Eng. Res. 19, 67–77. Google Scholar
Bornschlegel, S., Conrad, C., Durst, A., Welss, R., Wensing, M., Olbinado, M., Helfen, L. & Baumbach, T. (2021). Int. J. Eng. Res. 22, 592–605. CAS Google Scholar
Cammarata, M., Eybert, L., Ewald, F., Reichenbach, W., Wulff, M., Anfinrud, P., Schotte, F., Plech, A., Kong, Q., Lorenc, M., Lindenau, B., Räbiger, J. & Polachowski, S. (2009). Rev. Sci. Instrum. 80, 015101. Web of Science CrossRef PubMed Google Scholar
Chace, W. G. & Moore, H. K. (2014). Exploding Wires, Vol. 4. Springer. Google Scholar
Cloetens, P., Barrett, R., Baruchel, J., Guigay, J.-P. & Schlenker, M. (1996). J. Phys. D Appl. Phys. 29, 133–146. CrossRef CAS Web of Science Google Scholar
De Palma, J.-F. & Gelet, J.-L. (2017). Proceedings of the 2017 19th European Conference on Power Electronics and Applications (EPE'17 ECCE Europe), 11–14 September 2017, Warsaw, Poland. IEEE. Google Scholar
Douissard, P.-A., Cecilia, A., Rochet, X., Chapel, X., Martin, T., Kamp, T., Helfen, L., Baumbach, T., Luquot, L., Xiao, X., Meinhardt, J. & Rack, A. (2012). J. Instrum. 7, P09016. Google Scholar
Driel, T. B. van, Nelson, S., Armenta, R., Blaj, G., Boo, S., Boutet, S., Doering, D., Dragone, A., Hart, P., Haller, G., Kenney, C., Kwaitowski, M., Manger, L., McKelvey, M., Nakahara, K., Oriunno, M., Sato, T. & Weaver, M. (2020). J. Synchrotron Rad. 27, 608–615. Web of Science CrossRef IUCr Journals Google Scholar
Escauriza, E. M., Duarte, J. P., Chapman, D. J., Rutherford, M. E., Farbaniec, L., Jonsson, J. C., Smith, L. C., Olbinado, M. P., Skidmore, J., Foster, P., Ringrose, T., Rack, A. & Eakins, D. E. (2020). Sci. Rep. 10, 8455. Web of Science CrossRef PubMed Google Scholar
Escauriza, E. M., Olbinado, M. P., Rutherford, M. E., Chapman, D. J., Jonsson, J. C. Z., Rack, A. & Eakins, D. E. (2018). Appl. Opt. 57, 5004–5010. Web of Science CrossRef CAS PubMed Google Scholar
Fardin, L., Giaccaglia, C., Busca, P. & Bravin, A. (2023). Phys. Med. 108, 102571. CrossRef PubMed Google Scholar
Fezzaa, K. & Wang, Y. (2008). Phys. Rev. Lett. 100, 104501. Web of Science CrossRef PubMed Google Scholar
Gruner, S. M., Tate, M. W. & Eikenberry, E. F. (2002). Rev. Sci. Instrum. 73, 2815–2842. Web of Science CrossRef CAS Google Scholar
Hart, P. A., Carpenter, A., Claus, L., Damiani, D., Dayton, M., Decker, F.-J., Gleason, A., Heimann, P., Hurd, E., McBride, E., Nelson, S., Sanchez, M., Song, S. & Zhu, D. (2019). Proc. SPIE, 11038, 110380Q. Google Scholar
Hartmann, W., Markewitz, G., Rettenmaier, U. & Queisser, H. J. (1975). Appl. Phys. Lett. 27, 308–309. CrossRef Web of Science Google Scholar
Hatsui, T. & Graafsma, H. (2015). IUCrJ, 2, 371–383. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Hodge, D. S., Leong, A. F. T., Pandolfi, S., Kurzer-Ogul, K., Montgomery, D. S., Aluie, H., Bolme, C., Carver, T., Cunningham, E., Curry, C. B., Dayton, M., Decker, F.-J., Galtier, E., Hart, P., Khaghani, D., Ja Lee, H., Li, K., Liu, Y., Ramos, K., Shang, J., Vetter, S., Nagler, B., Sandberg, R. L. & Gleason, A. E. (2022). Opt. Express, 30, 38405–38422. Web of Science CrossRef PubMed Google Scholar
Hopkins, H. H. & Burch, C. R. (1955). Proc. R. Soc. London Ser. A, 231, 91–103. Google Scholar
Hudspeth, M., Claus, B., Dubelman, S., Black, J., Mondal, A., Parab, N., Funnell, C., Hai, F., Qi, M., Fezzaa, K., Luo, S. N. & Chen, W. (2013). Rev. Sci. Instrum. 84, 025102. CrossRef PubMed Google Scholar
Katagiri, K., Pikuz, T., Fang, L., Albertazzi, B., Egashira, S., Inubushi, Y., Kamimura, G., Kodama, R., Koenig, M., Kozioziemski, B., Masaoka, G., Miyanishi, K., Nakamura, H., Ota, M., Rigon, G., Sakawa, Y., Sano, T., Schoofs, F., Smith, Z. J., Sueda, K., Togashi, T., Vinci, T., Wang, Y., Yabashi, M., Yabuuchi, T., Dresselhaus-Marais, L. E. & Ozaki, N. (2023). Science, 382, 69–72. CrossRef CAS PubMed Google Scholar
Koch, A. (1994). Nucl. Instrum. Methods Phys. Res. A, 348, 654–658. CrossRef CAS Web of Science Google Scholar
Koch, A., Raven, C., Spanne, P. & Snigirev, A. (1998). J. Opt. Soc. Am. A, 15, 1940–1951. Web of Science CrossRef CAS Google Scholar
Krasik, Y. E., Fedotov, A., Sheftman, D., Efimov, S., Sayapin, A., Gurovich, V. T., Veksler, D., Bazalitski, G., Gleizer, S., Grinenko, A. & Oreshkin, V. I. (2010). Plasma Sources Sci. Technol. 19, 034020. CrossRef Google Scholar
Kuroda, R., Tochigi, Y., Miyauchi, K., Takeda, T., Sugo, H., Shao, F. & Sugawa, S. (2016). ITE Trans. Media Technol. Applic. 4, 149–154. CrossRef Google Scholar
Lee, J. S., Weon, B. M., Park, S. J., Je, J. H., Fezzaa, K. & Lee, W.-K. (2011). Nat. Commun. 2, 367. Web of Science CrossRef PubMed Google Scholar
Lukić, B., Saletti, D., Forquin, P., Blasone, M., Cohen, A. & Rack, A. (2024). J. Dyn. Behav. Mater. 10, 124–136. Google Scholar
Maler, D., Efimov, S., Liverts, M., Theocharous, S., Strucka, J., Yao, Y., Proud, W., Rack, A., Lukic, B., Bland, S. N. & Krasik, Y. E. (2022). Phys. Plasmas, 29, 063502. CrossRef Google Scholar
Martin, T., Douissard, P.-A., Couchaud, M., Cecilia, A., Baumbach, T., Dupre, K. & Rack, A. (2009). IEEE Trans. Nucl. Sci. 56, 1412–1418. Web of Science CrossRef CAS Google Scholar
Martin, T. & Koch, A. (2006). J. Synchrotron Rad. 13, 180–194. Web of Science CrossRef CAS IUCr Journals Google Scholar
Mertens, J. C. & Chawla, N. (2015). Nucl. Instrum. Methods Phys. Res. A, 783, 110–116. CrossRef CAS Google Scholar
Milliere, L. & Lavaud, P. (2020). Plasma Res. Express, 2, 035005. CrossRef Google Scholar
Montgomery, D. S. (2023). Rev. Sci. Instrum. 94, 021103. CrossRef PubMed Google Scholar
Olbinado, M. P., Just, X., Gelet, J.-L., Lhuissier, P., Scheel, M., Vagovic, P., Sato, T., Graceffa, R., Schulz, J., Mancuso, A., Morse, J. & Rack, A. (2017). Opt. Express, 25, 13857–13871. Web of Science CrossRef CAS PubMed Google Scholar
Pauwels, K. & Douissard, P.-A. (2022). J. Synchrotron Rad. 29, 1394–1406. CrossRef IUCr Journals Google Scholar
Philipp, H. T., Tate, M. W., Purohit, P., Shanks, K. S., Weiss, J. T. & Gruner, S. M. (2016). J. Synchrotron Rad. 23, 395–403. Web of Science CrossRef CAS IUCr Journals Google Scholar
Pidol, L., Kahn-Harari, A., Viana, B., Virey, E., Ferrand, B., Dorenbos, P., de Haas, J. & van Eijk, C. (2004). IEEE Trans. Nucl. Sci. 51, 1084–1087. Web of Science CrossRef CAS Google Scholar
Pradel, P., de Rességuier, T., Malaise, F., Olbinado, M. P., Rack, A., Grenzer, J., Loison, D. & Berthe, L. (2022). J. Appl. Phys. 131, 055106. CrossRef Google Scholar
Rack, A. (2020). Synchrotron Radiat. News, 33(3), 20–28. CrossRef Google Scholar
Rack, A., García-Moreno, F., Helfen, L., Mukherjee, M., Jiménez, C., Rack, T., Cloetens, P. & Banhart, J. (2013). Appl. Opt. 52, 8122–8127. Web of Science CrossRef CAS PubMed Google Scholar
Rack, A., Garcia-Moreno, F., Schmitt, C., Betz, O., Cecilia, A., Ershov, A., Rack, T., Banhart, J. & Zabler, S. (2010). J. X-ray Sci. Technol. 18, 429. PubMed Google Scholar
Rack, A., Scheel, M., Hardy, L., Curfs, C., Bonnin, A. & Reichert, H. (2014). J. Synchrotron Rad. 21, 815–818. Web of Science CrossRef CAS IUCr Journals Google Scholar
Rack, A., Sekiguchi, H., Uesugi, K., Yasuda, N., Takano, Y., Okinaka, T., Iguchi, A., Milliere, L., Lukić, B., Olbinado, M. P. & Etoh, T. G. (2024). Nucl. Instrum. Methods Phys. Res. A, 1058, 168812. CrossRef Google Scholar
Raimondi, P., Benabderrahmane, C., Berkvens, P., Biasci, J. C., Borowiec, P., Bouteille, J.-F., Brochard, T., Brookes, N. B., Carmignani, N., Carver, L. R., Chaize, J.-M., Chavanne, J., Checchia, S., Chushkin, Y., Cianciosi, F., Di Michiel, M., Dimper, R., D'Elia, A., Einfeld, D., Ewald, F., Farvacque, L., Goirand, L., Hardy, L., Jacob, J., Jolly, L., Krisch, M., Le Bec, G., Leconte, I., Liuzzo, S. M., Maccarrone, C., Marchial, T., Martin, D., Mezouar, M., Nevo, C., Perron, T., Plouviez, E., Reichert, H., Renaud, P., Revol, J.-L., Roche, B., Scheidt, K.-B., Serriere, V., Sette, F., Susini, J., Torino, L., Versteegen, R., White, S. & Zontone, F. (2023). Commun. Phys. 6, 82. Web of Science CrossRef PubMed Google Scholar
Riva, F. (2016). Development of new thin film scintillators for high-resolution X-ray imaging. PhD Thesis, Université de Lyon, France. Google Scholar
Ruat, M. & Ponchut, C. (2014). J. Instrum. 9, C04030. Web of Science CrossRef Google Scholar
Rutherford, M. E., Chapman, D. J., White, T. G., Drakopoulos, M., Rack, A. & Eakins, D. E. (2016). J. Synchrotron Rad. 23, 685–693. Web of Science CrossRef CAS IUCr Journals Google Scholar
Samei, E., Flynn, M. J. & Reimann, D. A. (1998). Med. Phys. 25, 102–113. Web of Science CrossRef CAS PubMed Google Scholar
Sánchez del Río, M. & Dejus, R. J. (2011). Proc. SPIE, 8141, 814115. Google Scholar
Schropp, A., Hoppe, R., Meier, V., Patommel, J., Seiboth, F., Ping, Y., Hicks, D. G., Beckwith, M. A., Collins, G. W., Higginbotham, A., Wark, J. S., Lee, H. J., Nagler, B., Galtier, E. C., Arnold, B., Zastrau, U., Hastings, J. B. & Schroer, C. G. (2015). Sci. Rep. 5, 11089. Web of Science CrossRef PubMed Google Scholar
Sinclair, N. W., Turneaure, S. J., Wang, Y., Zimmerman, K. & Gupta, Y. M. (2021). J. Synchrotron Rad. 28, 1216–1228. CrossRef CAS IUCr Journals Google Scholar
Snigirev, A., Snigireva, I., Kohn, V., Kuznetsov, S. & Schelokov, I. (1995). Rev. Sci. Instrum. 66, 5486–5492. CrossRef CAS Web of Science Google Scholar
Stampanoni, M., Borchert, G., Wyss, P., Abela, R., Patterson, B., Hunt, S., Vermeulen, D. & Rüegsegger, P. (2002). Nucl. Instrum. Methods Phys. Res. A, 491, 291–301. Web of Science CrossRef CAS Google Scholar
Strucka, J., Lukic, B., Koerner, M., Halliday, J. W. D., Yao, Y., Mughal, K., Maler, D., Efimov, S., Skidmore, J., Rack, A., Krasik, Y., Chittenden, J. & Bland, S. N. (2023). Phys. Fluids, 35, 044108. CrossRef Google Scholar
Wang, Y., Liu, X., Im, K.-S., Lee, W.-K., Wang, J., Fezzaa, K., Hung, D. L. S. & Winkelman, J. R. (2008). Nat. Phys. 4, 305–309. Web of Science CrossRef CAS Google Scholar
Wang, Z., Leong, A. F., Dragone, A., Gleason, A. E., Ballabriga, R., Campbell, C., Campbell, M., Clark, S. J., Da Vià, C., Dattelbaum, D. M., Demarteau, M., Fabris, L., Fezzaa, K., Fossum, E. R., Gruner, S. M., Hufnagel, T., Ju, X., Li, K., Llopart, X., Lukić, B., Rack, A., Strehlow, J., Therrien, A. C., Thom-Levy, J., Wang, F., Xiao, T., Xu, M. & Yue, X. (2023). Nucl. Instrum. Methods Phys. Res. A, 1057, 168690. CrossRef Google Scholar
Weitkamp, T., Tafforeau, P., Boller, E., Cloetens, P., Valade, J.-P., Bernard, P., Peyrin, F., Ludwig, W., Helfen, L., Baruchel, J., Garrett, R., Gentle, I., Nugent, K. & Wilkins, S. (2010). AIP Conf. Proc. 1234, 83–86. CrossRef Google Scholar
Wilkins, S. W., Gureyev, T. E., Gao, D., Pogany, A. & Stevenson, A. W. (1996). Nature, 384, 335–338. CrossRef CAS Web of Science Google Scholar
Zielinski, B., Sadat, T., Lukić, B., Haugou, G., Morvan, H., Rack, A., Markiewicz, E. & Dubar, L. (2023). Mater. Lett. 337, 133943. CrossRef Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.