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 "title": "Synchrotron X-ray tomography",
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 "excerpt": "Synchrotron X-ray tomography is a non-destructive imaging method that reconstructs the 3D internal structure of a sample from hundreds of synchrotron X-ray radiographs, at micrometer or finer resolution within minutes.",
 "snippet": "Synchrotron X-ray tomography is a non-destructive imaging method that reconstructs the 3D internal structure of a sample from hundreds of synchrotron X-ray radiographs, at micrometer or finer resolution within minutes.",
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 "markdown": "# Synchrotron X-ray tomography\n\nSynchrotron X-ray tomography is a non-destructive imaging method that reconstructs the three-dimensional internal structure of a sample from hundreds to thousands of radiographs recorded with high-brightness synchrotron X-rays, typically at micrometer or finer resolution. Compared with a laboratory micro-CT source, the high brilliance of synchrotron light provides increased spatial and temporal resolution, with detection of details as small as 1 micron in millimeter-sized samples routinely possible within only a few minutes; the beam is monochromatic when desired and partially coherent, which buys faster scans, quantitative attenuation measurements free of beam-hardening artifacts, and access to phase-contrast techniques that reveal detail in weakly absorbing materials such as soft tissue.<sup>[1](https://www.psi.ch/en/sls/tomcat/imaging-techniques)</sup> The method is used across materials science, biology, medicine, and the geological and palaeontological sciences.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup>\n\n| Key fact | Value |\n|---|---|\n| Typical voxel sizes | 0.16–11 µm at TOMCAT (SLS); 0.3–50 µm at ESRF ID19; down to 10 nm at nano-imaging endstations<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[4](https://www.esrf.fr/home/UsersAndScience/Experiments/ID19/over.html)</sup><sup> • </sup><sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup> |\n| Photon energies | 8–45 keV (TOMCAT), 6–250 keV (ID19, mostly 19–35 keV)<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[4](https://www.esrf.fr/home/UsersAndScience/Experiments/ID19/over.html)</sup> |\n| Scan time | Seconds to a few minutes routinely; sub-second (down to 0.2 s per 3D image) in ultrafast mode<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup> |\n| Projections per scan | ~2000 typical at ID19; 1201 over 180° in an Australian Synchrotron example<sup>[4](https://www.esrf.fr/home/UsersAndScience/Experiments/ID19/over.html)</sup><sup> • </sup><sup>[6](https://www.mdpi.com/2076-3417/13/3/1317)</sup> |\n| Data rates | GigaFRoST detector streams up to 7.7 GB/s; tens to hundreds of TB of raw data per day<sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup> |\n| Contrast modes | Absorption (Beer–Lambert) and phase contrast (propagation, grating, ptychographic)<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[6](https://www.mdpi.com/2076-3417/13/3/1317)</sup> |\n\n## How it works\n\nAbsorption-contrast tomography relies on the Beer–Lambert attenuation of X-rays passing through the sample; the reconstruction inverts this attenuation to recover the local linear attenuation coefficient in every voxel.<sup>[8](https://arxiv.org/pdf/2011.05146)</sup> The photoelectric cross-section that dominates attenuation scales as \\( Z^{4} \\) and \\( E^{-3} \\), so contrast between materials depends strongly on atomic number and photon energy, and optimal contrast is achieved at roughly 30% beam transmission.<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup> Grodzins showed that the optimum energy for attenuation measurements is the one giving \\( \\mu D = 2 \\), where \\( \\mu \\) is the attenuation coefficient and \\( D \\) the sample diameter, and that resolving attenuation differences as small as 1% between neighboring voxels requires an X-ray fluence of \\( 2 \\times 10^{4} \\, D \\cdot \\exp(\\mu D) / w^{2} \\) photons per pixel area, with \\( w \\) the pixel width.<sup>[9](https://www.osti.gov/servlets/purl/5896987)</sup>\n\nPhase contrast exploits the spatial coherence of synchrotron radiation. At ESRF ID19 the transverse coherence length \\( d_{c} = \\lambda L / 2\\sigma \\) is in the 100 µm range, large enough that phase shifts from the sample produce measurable fringes as the wave propagates to the detector, the \"propagation technique\".<sup>[4](https://www.esrf.fr/home/UsersAndScience/Experiments/ID19/over.html)</sup> Phase contrast highlights edges and internal boundaries and can image low-density materials that do not absorb X-rays sufficiently, complementing absorption contrast, which is more sensitive to the bulk.<sup>[10](https://mdpi-res.com/d_attachment/materials/materials-05-00937/article_deploy/materials-05-00937.pdf?version=1337849884)</sup> The most widely used retrieval is the single-distance Paganin method, which applies a convolution filter to each propagation-based phase-contrast radiograph per angle to produce a phase-retrieved projection, improving signal-to-noise ratio; the method assumes a single homogeneous material, paraxial coherent illumination, and a small sample-to-detector distance, and the retrieved projections are then used as input to tomographic reconstruction.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup><sup> • </sup><sup>[6](https://www.mdpi.com/2076-3417/13/3/1317)</sup> [Holotomography](https://www.edgepedia.org/holotomography) instead records images at several propagation distances to recover the phase shift quantitatively, corresponding to local electron density.<sup>[11](https://www.esrf.fr/UsersAndScience/Publications/Highlights/2002/Imaging/IMA1)</sup> [Ptychographic X-ray computed tomography](https://www.edgepedia.org/ptychographic-x-ray-computed-tomography) retrieves quantitative electron-density tomograms with resolution limited by scattering signal and coherent flux rather than by X-ray optics.<sup>[12](https://www.nature.com/articles/s41467-026-73738-1)</sup>\n\n## How it is done\n\nThe standard workflow has four steps: selection of photon energy and flux by a monochromator, rotation of the sample about an axis from 0 to 180° in chosen step sizes, acquisition of radiographs by the detector, and reconstruction.<sup>[13](https://plantmethods.biomedcentral.com/articles/10.1186/s13007-022-00932-9)</sup> A representative scan at the Australian Synchrotron collected 1201 projections at 0.15° steps, with 100 dark-current and 100 flat-field images taken before and after the scan for correction.<sup>[6](https://www.mdpi.com/2076-3417/13/3/1317)</sup> Detectors are CCD or CMOS cameras<sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup>; TOMCAT's GigaFRoST detector streams at nearly 8 GB/s with frame rates from 1 kHz full frame to 20 kHz on a reduced region of interest.<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup>\n\nReconstruction uses filtered back-projection or Fourier-type algorithms; TOMCAT applies optimized Fourier-method software with an [ImageJ](https://www.edgepedia.org/imagej) plug-in interface, and ESRF uses PyHST2.<sup>[3](https://www.psi.ch/en/sls/tomcat/beamline-information)</sup><sup> • </sup><sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup> A 2048×2048 dataset with 1501 projections is reconstructed in under 12 minutes on a five-node cluster at TOMCAT.<sup>[14](https://iopscience.iop.org/article/10.1088/1742-6596/186/1/012042/pdf)</sup> At ESRF BM05, automation now covers camera alignment, energy calculation, and sample centering, with a robotic changer handling up to 45 samples at 1 min 30 s per change and a web GUI (Daiquiri) that lets non-experts run scans.<sup>[15](https://www.ndt.net/article/dir2025/papers/DIR2025_ShortPaper-F_LEONARD-THU4A2.pdf)</sup> [Resolution](https://www.edgepedia.org/resolution) trades against sample size: a 9 mm sample on a 2000-pixel detector gives about 5 µm pixels, whereas 1 µm pixels require restricting the sample to about 2 mm.<sup>[16](https://millenia.cars.aps.anl.gov/data/rivers/ClayMineralSociety/05-Rivers.pdf)</sup>\n\nMachine-learning reconstruction has moved from concept to practice. 4D-PIONIX combines a full physical model of the studied dynamics with deep learning, delivering reliable 4D reconstruction from ultra-sparse data (15 time points, two projections 23.8° apart per time point) and requiring only 1/80 of the projection images compared with its predecessor 4D-ONIX for similar quality.<sup>[17](https://iopscience.iop.org/article/10.1088/1361-6501/adf2c9)</sup> Dynamic sparse ptychographic reconstruction recovers a high-resolution tomogram of an 80 µm sample at 100 nm resolution from only 10 projections per time point, versus roughly 1250 for analytical methods, a greater than 100-fold temporal-resolution improvement.<sup>[12](https://www.nature.com/articles/s41467-026-73738-1)</sup>\n\n## Origin\n\nMicro-CT was discussed using X-ray tubes, gamma-ray sources, and synchrotron radiation.<sup>[18](https://www.sciencedirect.com/science/article/abs/pii/0168900286901671)</sup> Grodzins' 1983 paper treated optimum energies for X-ray transmission tomography of small samples with synchrotron radiation.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup> Computerized critical-absorption tomography using synchrotron radiation achieves about 10 µm spatial resolution and high chemical sensitivity.<sup>[18](https://www.sciencedirect.com/science/article/abs/pii/0168900286901671)</sup> [X-ray microtomography](https://www.edgepedia.org/x-ray-microtomography) generates nondestructive 3D maps of the X-ray attenuation coefficient with approximately 1% accuracy and resolution approaching 1 µm, working with both synchrotron and laboratory sources.<sup>[19](https://doi.org/10.1126/science.237.4821.1439)</sup> A review of the field credits the 1980s US work as the origin, while noting that no single source credits one introducing paper for synchrotron microtomography specifically.<sup>[18](https://www.sciencedirect.com/science/article/abs/pii/0168900286901671)</sup><sup> • </sup><sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup> Dedicated capacity followed: by 2002 synchrotron microtomography occupied most of the beam time on ESRF's ID19 and a substantial fraction on ID15, ID17, and ID22.<sup>[11](https://www.esrf.fr/UsersAndScience/Publications/Highlights/2002/Imaging/IMA1)</sup>\n\n## Variants\n\n**Absorption CT** is the baseline mode, reconstructing the attenuation coefficient from Beer–Lambert projections. **Propagation phase-contrast tomography** uses a sample-to-detector propagation distance and phase retrieval; in-line phase-contrast was demonstrated with monochromatic hard X-rays at synchrotrons and independently with polychromatic laboratory sources.<sup>[10](https://mdpi-res.com/d_attachment/materials/materials-05-00937/article_deploy/materials-05-00937.pdf?version=1337849884)</sup> **Holotomography** records several distances per angle for quantitative phase tomography with micrometer resolution using hard synchrotron X-rays.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup> **Grating-based differential phase contrast** extends phase retrieval to low-brilliance sources.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup> The Australian Synchrotron MCT beamline offers propagation-based, grating-based, and speckle-based phase modalities alongside absorption contrast.<sup>[6](https://www.mdpi.com/2076-3417/13/3/1317)</sup>\n\n**Laminography** images regions of interest inside flat, plate-like objects by tilting the rotation axis relative to the beam, available at ID19 and ID16B.<sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup> Diffraction contrast tomography is offered at ESRF on ID03, ID11, and ID31.<sup>[15](https://www.ndt.net/article/dir2025/papers/DIR2025_ShortPaper-F_LEONARD-THU4A2.pdf)</sup> Nano-imaging endstations reach 10 nm pixel size under vacuum (ID16A) and 25–200 nm in air (ID16B), and transmission X-ray microscopes with Zernike phase contrast reach 21 nm pixel size.<sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup><sup> • </sup><sup>[20](https://www.synchrotron-soleil.fr/en/beamlines/anatomix)</sup>\n\n## Applications\n\nIn the geosciences, time-resolved tomographic microscopy follows fluid flow and other dynamic processes in porous rocks, with in situ sample diameters of 5 mm or more to avoid excessive boundary effects.<sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup> High-energy [laminography](https://www.edgepedia.org/laminography) at SPring-8 visualized microstructures in a 145 mm planar fossil specimen using 7200 projections over 360° with 150 ms exposure and a 30° tilt.<sup>[21](https://pmc.ncbi.nlm.nih.gov/articles/PMC10000797/)</sup>\n\nIn materials science, fast tomography at ESRF followed the sintering of copper spheres, with monochromatic beams enabling quantitative evaluation and eliminating reconstruction artifacts.<sup>[11](https://www.esrf.fr/UsersAndScience/Publications/Highlights/2002/Imaging/IMA1)</sup> [In situ](https://www.edgepedia.org/in-situ) environments include tensile, compression, fatigue, temperature, hygrometry, and controlled atmosphere stages, including a 400–1000 °C furnace on ID16B.<sup>[5](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)</sup> Battery research uses in situ nano-tomography of lithiating cells, and synchrotron micro- and nano-CT are widely applied across materials science, biology, and medicine.<sup>[22](https://pubs.rsc.org/en/content/articlehtml/2025/ta/d5ta03471j)</sup><sup> • </sup><sup>[23](https://re.public.polimi.it/retrieve/e34356c7-5f60-4c91-8b48-09e3e747e0dc/1-s2.0-S2352492826009840-main.pdf)</sup>\n\n## Limitations and alternatives\n\n**Flux and sample size.** At bending-magnet beamlines such as TOMCAT, flux is strongly reduced above 40 keV and approaches zero at 80 keV, which restrains the maximum sample size for typical rocks to 5–7 mm.<sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup> Fast imaging at TOMCAT is almost exclusively polychromatic because monochromatic flux above 20 keV is insufficient for sub-second experiments, and polychromatic fast imaging accepts minor beam-hardening artifacts, the preferential attenuation of low-energy components as a polychromatic beam passes through the sample, a known error source in conventional CT.<sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup><sup> • </sup><sup>[9](https://www.osti.gov/servlets/purl/5896987)</sup> The Nature Reviews Methods Primer lists radiation damage potential and common imaging artifacts among the method's limitations.<sup>[2](https://www.nature.com/articles/s43586-021-00015-4)</sup>\n\n**Data burden and access.** A typical beamtime generates terabytes of tomographic data, and manual segmentation is prohibitively time-consuming, requiring several hours per volume; deep-learning segmentation that transforms ex situ laboratory XCT data to simulate synchrotron imaging characteristics reduces segmentation processing time by one to two orders of magnitude.<sup>[24](https://ar5iv.labs.arxiv.org/html/2504.19200)</sup>\n\n**Comparison with alternatives.** [Laboratory](https://www.edgepedia.org/laboratory) micro-CT sources achieve in-situ time resolutions of a few tens of seconds, whereas sub-second dynamics are typically pursued at synchrotrons, with achievable scan speeds depending on the source, detector, resolution, sample, and protocol; synchrotron CT has offered resolutions below 1 µm (for example at ESRF ID19), with about 180 nm reported in a 2010 comparative study at a synchrotron source.<sup>[7](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)</sup><sup> • </sup><sup>[25](https://www.sciencedirect.com/science/article/pii/S0963869510000708)</sup> For planar, plate-like objects, laminography outperforms micro-CT because the X-ray penetration path through surrounding matrix is greatly shortened, avoiding streak artifacts; in one fossil study it visualized wing-membrane veins that micro-CT failed to capture.<sup>[21](https://pmc.ncbi.nlm.nih.gov/articles/PMC10000797/)</sup>\n\n## References\n\n1. [Imaging Techniques at TOMCAT | PSI](https://www.psi.ch/en/sls/tomcat/imaging-techniques)\n2. [X-ray computed tomography | Nature Reviews Methods Primers](https://www.nature.com/articles/s43586-021-00015-4)\n3. [The TOMCAT beamline (PSI)](https://www.psi.ch/en/sls/tomcat/beamline-information)\n4. [ESRF ID19 beamline overview](https://www.esrf.fr/home/UsersAndScience/Experiments/ID19/over.html)\n5. [Synchrotron-tomography with micro, nano and high temporal resolution (Boller et al., ICTMS 2017)](https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-66.pdf)\n6. [Micro-Computed Tomography Beamline of the Australian Synchrotron (Applied Sciences, 2023)](https://www.mdpi.com/2076-3417/13/3/1317)\n7. [Time Resolved in situ X-Ray Tomographic Microscopy Unraveling Dynamic Processes in Geologic Systems (Frontiers in Earth Science, 2019)](https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2019.00346/full)\n8. [Tutorial on X-ray phase-contrast imaging (arXiv)](https://arxiv.org/pdf/2011.05146)\n9. [Synchrotron microtomography technical report (OSTI)](https://www.osti.gov/servlets/purl/5896987)\n10. [In-Line Phase-Contrast X-ray Imaging and Tomography for Materials Science (Materials, 2012)](https://mdpi-res.com/d_attachment/materials/materials-05-00937/article_deploy/materials-05-00937.pdf?version=1337849884)\n11. [Synchrotron-radiation Microtomography (ESRF Highlights 2002)](https://www.esrf.fr/UsersAndScience/Publications/Highlights/2002/Imaging/IMA1)\n12. [In situ ptychographic x-ray nanotomography of temperature-controlled crystallization processes (Nature Communications)](https://www.nature.com/articles/s41467-026-73738-1)\n13. [Synchrotron tomography applications in agriculture and food sciences research (Plant Methods, 2022)](https://plantmethods.biomedcentral.com/articles/10.1186/s13007-022-00932-9)\n14. [X-ray Tomographic Microscopy at TOMCAT (J. Phys.: Conf. Ser., Marone et al.)](https://iopscience.iop.org/article/10.1088/1742-6596/186/1/012042/pdf)\n15. [Hardware and software developments on ESRF-EBS BM05 beamline (DIR 2025)](https://www.ndt.net/article/dir2025/papers/DIR2025_ShortPaper-F_LEONARD-THU4A2.pdf)\n16. [Introduction to computed microtomography and applications in earth science (Rivers, APS/Clay Minerals Society)](https://millenia.cars.aps.anl.gov/data/rivers/ClayMineralSociety/05-Rivers.pdf)\n17. [Physics-informed 4D x-ray image reconstruction from ultra-sparse spatiotemporal data (4D-PIONIX, Meas. Sci. Technol.)](https://iopscience.iop.org/article/10.1088/1361-6501/adf2c9)\n18. [High resolution tomography with chemical specificity (Bonse et al., NIM A, 1986)](https://www.sciencedirect.com/science/article/abs/pii/0168900286901671)\n19. [Three-Dimensional X-Ray Microtomography (Science, 1987; aggregator copy)](https://doi.org/10.1126/science.237.4821.1439)\n20. [ANATOMIX beamline (Soleil)](https://www.synchrotron-soleil.fr/en/beamlines/anatomix)\n21. [High-energy X-ray micro-laminography to visualize microstructures in dense planar objects (J. Synchrotron Radiat./PMC, 2023)](https://pmc.ncbi.nlm.nih.gov/articles/PMC10000797/)\n22. [GenAI-enhanced 4D nano-tomography for advanced battery microstructure analysis (J. Mater. Chem. A, 2025)](https://pubs.rsc.org/en/content/articlehtml/2025/ta/d5ta03471j)\n23. [A review of in situ synchrotron micro- and nanoCT setups for bone, biomaterials, and biological tissues](https://re.public.polimi.it/retrieve/e34356c7-5f60-4c91-8b48-09e3e747e0dc/1-s2.0-S2352492826009840-main.pdf)\n24. [Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography (arXiv preprint, 2025)](https://ar5iv.labs.arxiv.org/html/2504.19200)\n25. [A comparative study of high resolution cone beam X-ray tomography and synchrotron tomography applied to Fe- and Al-alloys](https://www.sciencedirect.com/science/article/pii/S0963869510000708)\n\n---\n*Topic: Encyclopedia › Physical world and mathematics › Earth sciences › Geology and mineralogy*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n",
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 "speakable": "Synchrotron X-ray tomography is a non-destructive imaging method that reconstructs the 3D internal structure of a sample from hundreds of synchrotron X-ray radiographs, at micrometer or finer resolution within minutes."
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