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	<title>IODP &#8211; Science</title>
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	<title>IODP &#8211; Science</title>
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		<title>X-Ray Vision for Ocean Drill Cores: New Workflow Unlocks Hidden Structures on the Chikyu</title>
		<link>https://scienmag.com/x-ray-vision-for-ocean-drill-cores-new-workflow-unlocks-hidden-structures-on-the-chikyu/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Thu, 08 Oct 2026 20:51:56 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[core visualization]]></category>
		<category><![CDATA[D/V Chikyu]]></category>
		<category><![CDATA[DICOM]]></category>
		<category><![CDATA[Docker]]></category>
		<category><![CDATA[drill cores]]></category>
		<category><![CDATA[gas hydrate visualization]]></category>
		<category><![CDATA[GE Revolution Frontier VT1700 application]]></category>
		<category><![CDATA[innovative workflows in scientific ocean drilling]]></category>
		<category><![CDATA[IODP]]></category>
		<category><![CDATA[JAMSTEC]]></category>
		<category><![CDATA[marine geology]]></category>
		<category><![CDATA[non-destructive core analysis]]></category>
		<category><![CDATA[ocean drilling core imaging]]></category>
		<category><![CDATA[planetary history from ocean drilling]]></category>
		<category><![CDATA[Python workflow]]></category>
		<category><![CDATA[real-time ocean core imaging technology]]></category>
		<category><![CDATA[scientific drilling]]></category>
		<category><![CDATA[shipboard science]]></category>
		<category><![CDATA[submarine earthquake fault detection]]></category>
		<category><![CDATA[tectonic collision records]]></category>
		<category><![CDATA[tsunami deposit examination]]></category>
		<category><![CDATA[underwater sediment and rock core analysis]]></category>
		<category><![CDATA[X-ray computed tomography]]></category>
		<category><![CDATA[X-ray computed tomography in geological research]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=249349</guid>

					<description><![CDATA[A new Python-based workflow aboard the drilling vessel Chikyu turns raw X-ray CT scans of drill cores into accessible images that every shipboard scientist can use within minutes.]]></description>
										<content:encoded><![CDATA[<p>Deep beneath the ocean floor, the Earth keeps some of its most dramatic secrets: earthquake faults, tsunami deposits, gas hydrates, and the slow-motion record of tectonic collisions. When scientists aboard the Japanese drilling vessel Chikyu pull a core of sediment or rock up from these depths, they are holding a fragile archive of planetary history. Now, a team of researchers has found a way to let every scientist on board peer straight through the outside of those cores and into their hidden interiors — quickly, cheaply, and without cutting a single additional sample. The breakthrough, published in Scientific Drilling, could change how ocean drilling expeditions are run in real time.</p>
<p>The technique at the heart of the story is X-ray computed tomography, or XCT, the same fundamental technology used in hospitals to image the human body. When a drill core arrives on the Chikyu&#8217;s core processing deck, it is loaded into an onboard medical-grade scanner, a Revolution Frontier VT1700 built by GE HealthCare. The machine rotates an X-ray source around the section and reconstructs a three-dimensional map of how strongly the material attenuates X-rays. Because attenuation depends on both density and elemental composition, the resulting images reveal features that are completely invisible from the outside: burrows left by seafloor organisms, the sharp bases of turbidite deposits, subtle faults and deformation bands, and even the ghostly outlines of gas-filled voids.</p>
<p>Physically, the scanner reconstructs the distribution of the linear attenuation coefficient, conventionally expressed as CT numbers in Hounsfield units, a scale on which water registers zero and air registers minus one thousand. Dense minerals or materials rich in heavy elements produce high values, so discontinuities defined by density contrasts pop out of the images. The Chikyu scanner produces two-dimensional slices of 512 by 512 pixels across a 90-millimetre field of view, giving a resolution of about 0.176 millimetres within each slice, with slices spaced 0.625 millimetres apart. A full-length core section of roughly 1.4 metres therefore consists of some 2,200 to 2,300 individual slices, each saved as a DICOM file — the standard format of medical imaging. The scanner is calibrated every 24 hours using mock-ups of air, water, and aluminium to keep the numbers honest.</p>
<p>Here lies the paradox that motivated the new study, led by Hanaya Okuda of the Japan Agency for Marine-Earth Science and Technology together with colleagues in Austria and France. Although XCT scanning is one of the very first measurements performed on every core, and although it captures the most complete and continuous record of the material before anything is cut away, the data were largely going to waste. The DICOM files are enormous — typically more than a gigabyte per section — the viewing software is unfamiliar to most geologists, and only a handful of dedicated computers on the vessel could even open them. As a result, the scans were consulted almost exclusively by designated watchdog scientists whose job was to flag intervals for time-sensitive whole-round sampling, such as interstitial water squeezing or microbiology work, before the core warmed and its chemistry drifted.</p>
<p>Okuda and her team, including Charlotte Pizer and Michael Strasser of the University of Innsbruck and Mai-Linh Doan of Université Grenoble Alpes, set out to democratize that data. They built a Python-based visualization workflow that runs on the ship&#8217;s existing computers and converts the raw DICOM stacks into a family of accessible images that any shipboard scientist can consult within minutes. From each three-dimensional section volume, the workflow generates four image types: slices along the split surfaces of both the archive half and the working half, a slice perpendicular to the split surface that reveals structures hiding beneath it, and an unwrapped image produced by sampling the volume along a circular path of about 22.5 millimetres diameter centred on the core axis — effectively flattening the curved outer surface of the core into a single panoramic strip, a scheme adapted from methodology developed during IODP Expedition 405.</p>
<p>Alongside the images, the workflow computes a depth profile of CT numbers by averaging pixel values within a 40-millimetre-diameter circular area, counting only voxels above 1,200 Hounsfield units to exclude liner material and air. These parameters can be tuned manually for different lithologies, and the profiles are exported both as images and as CSV files for quantitative analysis. The individual products are then assembled into three nested summaries. A section summary lines up all five products for one core section, ideal for pinpointing undisturbed, representative spots for sampling. A core summary aligns one image type across every section of a core, directly mirroring what scientists see on the core description tables. Finally, a hole summary stacks every core in the borehole into a continuous downhole image, generated for both of the programme&#8217;s depth scales, CSF-A and CSF-B, and vertically compressed to one-third length for the downhole views.</p>
<p>The practical payoff is immediate and concrete. A physical properties specialist hunting for a crack-free cube of sediment for P-wave velocity measurements can scan the perpendicular slice to dodge fractures that would sabotage the measurement. Sedimentologists describing the archive half can compare their observations against the split-surface images to spot burrows and event deposits that a knife might smear. Structural geologists can trace faults through the working half before sampling destroys the context. And because the summaries are saved on a local computer accessible to everyone, scientists on any shift, in any science team, can generate them independently rather than queuing for the few machines equipped with DICOM viewers.</p>
<p>Getting the software to run smoothly on a research vessel posed its own engineering challenges. The team chose a Mac mini running the open-source Horos DICOM viewer as the processing host, because Horos offers prompt access to the shipboard XCT server and can export data easily, unlike the locked-down Advanced Workstation used for watchdog duties. They also decompress the DICOM files into the standard uncompressed Explicit VR Little Endian format, ensuring the archives remain usable in post-cruise research with tools such as ImageJ. To sidestep the notorious difficulty of configuring Python environments on shipboard machines, the entire workflow is packaged in a Docker container — a self-contained digital ecosystem that can be deployed on any computer running the free Docker software. The code reads each section&#8217;s 18-digit J-CORES identification number, builds a look-up table automatically, and processes more than 2,000 DICOM files per section in parallel across all processor cores, finishing in a few minutes; the downhole summaries take about one minute each.</p>
<p>The workflow was implemented and tested during IODP<sup>3</sup> Expeditions 502 and 503, and while the summaries cannot yet be produced before time-sensitive whole-round sampling — not all sections have been scanned by that point — they are ready well before non-time-sensitive sampling, section splitting, and visual core description begin. The authors are candid about the method&#8217;s limits: slicing a three-dimensional volume along fixed planes inevitably misses some structures, so an irregular, subvertical feature such as an injection structure near the core&#8217;s outer edge could escape detection. They therefore recommend complementing the summaries with examination in a full three-dimensional DICOM viewer. Looking ahead, they envision direct comparison of the unwrapped images with borehole logging data, and the integration of machine-learning techniques to automatically detect key features, potentially fusing XCT data with continuous core scan images and other track measurements for an unprecedented real-time picture of what the drill has recovered.</p>
<p>What makes this development resonate beyond one ship is its philosophy. The Chikyu&#8217;s scanner was already producing world-class data on every expedition; the bottleneck was not instrumentation but accessibility. By wrapping a robust visualization pipeline in a portable container and publishing both the Docker image and the Python scripts openly, the team has shown how a modest investment in software can multiply the scientific return of expensive, hard-won samples drilled from the seafloor. The same strategy, the authors note, can be transferred to any laboratory working with drill cores, promising rapid and consistent visualization of large tomographic datasets wherever scientists interrogate the Earth&#8217;s buried archives.</p>
<p><strong>Subject of Research:</strong> Non-destructive X-ray computed tomography visualization of drill cores and its integration into the shipboard core workflow on the drilling vessel Chikyu</p>
<p><strong>Article Title:</strong> Non-destructive core visualization using X-ray computed tomography scan and its implementation into the core workflow on D/V Chikyu</p>
<p><strong>Article References:</strong> Okuda, H., Pizer, C., Doan, M.-L., &amp; Strasser, M. (2026). Non-destructive core visualization using X-ray computed tomography scan and its implementation into the core workflow on D/V Chikyu. <em>Scientific Drilling, 35</em>(1), 119-125. <a href="https://doi.org/10.5194/sd-35-119-2026" rel="noopener noreferrer">https://doi.org/10.5194/sd-35-119-2026</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.5194/sd-35-119-2026" rel="noopener noreferrer">10.5194/sd-35-119-2026</a></p>
<p><strong>Keywords:</strong> X-ray computed tomography, drill cores, D/V Chikyu, IODP, scientific drilling, DICOM, core visualization, Python workflow, Docker, marine geology, shipboard science, JAMSTEC</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">249349</post-id>	</item>
		<item>
		<title>Deep Oceans Diverged as Antarctica Froze Over 34 Million Years Ago</title>
		<link>https://scienmag.com/deep-oceans-diverged-as-antarctica-froze-over-34-million-years-ago/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Wed, 23 Sep 2026 21:14:14 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[ancient ocean circulation]]></category>
		<category><![CDATA[Antarctic glaciation]]></category>
		<category><![CDATA[Antarctic glaciation history]]></category>
		<category><![CDATA[Antarctica ice sheet formation]]></category>
		<category><![CDATA[benthic foraminifera]]></category>
		<category><![CDATA[benthic foraminifera oxygen isotope analysis]]></category>
		<category><![CDATA[carbonate clumped isotope thermometry]]></category>
		<category><![CDATA[clumped isotope thermometry]]></category>
		<category><![CDATA[deep ocean circulation]]></category>
		<category><![CDATA[deep ocean fragmentation]]></category>
		<category><![CDATA[deep-sea temperature records]]></category>
		<category><![CDATA[Eocene–Oligocene climate transition]]></category>
		<category><![CDATA[Eocene–Oligocene transition]]></category>
		<category><![CDATA[impacts of continental drift on climate]]></category>
		<category><![CDATA[implications for climate change understanding]]></category>
		<category><![CDATA[IODP]]></category>
		<category><![CDATA[Miocene global cooling]]></category>
		<category><![CDATA[North Atlantic Deep Water]]></category>
		<category><![CDATA[ocean basin paleoceanography]]></category>
		<category><![CDATA[ocean gateways]]></category>
		<category><![CDATA[oxygen isotopes]]></category>
		<category><![CDATA[palaeoceanography]]></category>
		<category><![CDATA[paleoclimate]]></category>
		<category><![CDATA[Southern Ocean]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=210353</guid>

					<description><![CDATA[Clumped isotope thermometry reveals that the deep Pacific and Atlantic cooled on different schedules, and with reversed temperature gradients, during the onset of Antarctic glaciation 34 million years ago.]]></description>
										<content:encoded><![CDATA[<p>Roughly 34 million years ago, Earth crossed one of the most consequential thresholds in its climate history. At the Eocene–Oligocene transition, atmospheric carbon dioxide had fallen far enough, and the continents had drifted into a configuration favourable enough, that a large-scale ice sheet could finally take hold on Antarctica. The evidence for this pivot has long rested on a single, deceptively simple measurement: the oxygen isotope composition of the shells of benthic foraminifera, tiny single-celled organisms that lived on the deep seafloor. Those records show a strikingly synchronous jump across the globe, which scientists have traditionally read as a combination of deep-sea cooling and the growth of continental ice. A new study published in Nature Geoscience now shows that this apparently uniform signal conceals a deep ocean that was far more fragmented, and far more interesting, than anyone had assumed.</p>
<p>The research, led by Victoria E. Taylor of the University of Bergen together with Alison M. Piasecki, Eivind O. Straume and A. Nele Meckler, applied a technique called carbonate clumped isotope thermometry to fossil foraminifera from two of the world&#8217;s great ocean basins. Unlike conventional oxygen isotope measurements, which conflate temperature with the isotopic composition of seawater, clumped isotope thermometry exploits the tendency of heavy isotopes of carbon and oxygen to bond with one another in carbonate minerals. The abundance of these carbon-13–oxygen-18 bonds, quantified as the Δ47 value, depends on temperature alone at the time the shell formed. That independence makes it possible to reconstruct deep-sea temperatures directly, without having to guess how salty or isotopically heavy the ancient ocean was.</p>
<p>The team assembled temperature records spanning the Eocene–Oligocene transition from sediment cores recovered by the Integrated Ocean Drilling Program in the eastern equatorial Pacific, at Sites U1333, U1334 and 1218, and from the northwest North Atlantic, at IODP Site U1406. What they found was genuinely surprising. Although the oxygen isotope records from the two basins look remarkably similar, the actual temperatures behind them behaved in completely different ways. The deep Pacific began cooling earlier, with its temperature decline preceding the main phase of the oxygen isotope increase by roughly 100,000 years. The North Atlantic, by contrast, cooled later in the transition, even though its isotope signal shifted at much the same time as the Pacific&#8217;s.</p>
<p>This decoupling is the kind of result that forces a rethink of a foundational dataset. For decades, the globally coherent rise in benthic oxygen isotope values at the Eocene–Oligocene transition has been treated as evidence that the deep ocean cooled everywhere in step as the Antarctic ice sheet expanded. The new clumped isotope data reveal that the isotope signal can be misleading. Because oxygen isotope values in foraminiferal calcite depend on both temperature and the isotopic composition of seawater, which itself tracks salinity, two water masses can record identical isotope shifts while experiencing entirely different thermal histories. The authors argue that contrasting salinity gradients, required to maintain similar water densities between the basins, probably masked the divergent temperature behaviour in the traditional records.</p>
<p>Perhaps the most striking finding concerns the direction of the temperature gradient between the basins. Today, the deep North Atlantic is bathed in relatively warm water formed in the northern high latitudes, while the deep Pacific receives colder water sourced from the Southern Ocean. In the early Oligocene, the situation appears to have been reversed: the deep North Atlantic was, on the whole, cooler than the equatorial Pacific. In fact, between about 33.52 and 33.29 million years ago, deep northwest Atlantic temperatures dropped to values approaching those of the modern ocean, levels that, within the limits of the available records, were not reached again until the Pleistocene ice ages tens of millions of years later. That is a remarkable early glimpse of ice-age-like cold in a basin usually associated with warmth.</p>
<p>The explanation the researchers propose is a deep ocean organised in a fundamentally different way from today&#8217;s. Rather than a single dominant overturning circulation, the Eocene–Oligocene deep ocean may have hosted two distinct southern-sourced deep-water masses with divergent properties. The compartmentalised Southern Ocean of the time, still partially cut off by the unfinished opening of the Drake Passage and the Tasmanian Gateway, offered greater potential to form cold deep waters in its Atlantic sector than in its Pacific sector. The two basins were therefore effectively decoupled, each receiving deep water whose characteristics depended on where and how it last contacted the surface.</p>
<p>This picture carries a broader implication: the growing Antarctic cryosphere was not merely a passive response to cooling, but an active participant in shaping the ocean&#8217;s circulation. The spatially and temporally variable early ice sheet would have altered brine rejection, freshwater fluxes and the buoyancy of surface waters around the Antarctic margin, directly influencing the properties of the deep waters forming in adjacent sectors. The divergent behaviour of the Pacific and Atlantic basins at the transition may thus record the fingerprint of an ice sheet learning, so to speak, how to be an ice sheet, with each phase of its growth leaving a distinct imprint on the water masses it helped create.</p>
<p>The study builds on a growing body of work applying clumped isotope thermometry to the deep past. A 2022 analysis in Science by Meckler and colleagues established the long-term Cenozoic evolution of deep ocean temperature using the same method, and subsequent studies have documented transient deep cooling in the eastern equatorial Pacific at the transition. By extending the approach to the North Atlantic and comparing basins directly, the new work transforms what was a single global narrative into a two-basin story with genuinely different thermal trajectories. The methodological rigour is considerable: the team used long-integration dual-inlet mass spectrometry, community standardisation protocols and careful error propagation, and their Atlantic temperatures reproduce independently published measurements from nearby Expedition 342 sites.</p>
<p>Why does this matter beyond the Eocene? The Eocene–Oligocene transition is one of the best-studied natural experiments in how a greenhouse world tips into an icehouse one, and it is frequently used to benchmark climate models and to frame expectations about future change. If the deep ocean&#8217;s response to that tipping was spatially heterogeneous rather than uniform, then reconstructions and models that assume a globally coherent deep ocean may need revision. It also matters for how scientists interpret the oxygen isotope archives that underpin so much of Cenozoic climate science: the same isotope shift can hide different combinations of cooling and salinity change in different places, and clumped isotope thermometry offers a way to untangle them.</p>
<p>The deep ocean, covering most of the planet and storing the vast majority of its accessible heat, is the flywheel of the climate system. What this study reveals is that during one of Earth&#8217;s great climatic reorganisations, that flywheel was not turning as a single machine but as two, with the Pacific and Atlantic spinning along divergent paths even as the ice advanced on Antarctica. The samples and data underpinning the work, provided through the Integrated Ocean Drilling Program and archived on Zenodo, ensure that other researchers can now interrogate this pivotal interval further. As the Antarctic ice sheet assembled itself 34 million years ago, it did not simply chill the world&#8217;s oceans in unison; it reorganised them from the bottom up, leaving a signature that is only now coming into focus.</p>
<p><strong>Subject of Research:</strong> Deep-sea temperature evolution in the Pacific and Atlantic oceans during the Eocene–Oligocene onset of Antarctic glaciation</p>
<p><strong>Article Title:</strong> Divergent deep-sea temperatures in the Pacific and Atlantic during the onset of Antarctic glaciation</p>
<p><strong>Article References:</strong> Taylor, V. E., Piasecki, A. M., Straume, E. O., &amp; Meckler, A. N. (2026). Divergent deep-sea temperatures in the Pacific and Atlantic during the onset of Antarctic glaciation. <em>Nature Geoscience</em>. <a href="https://doi.org/10.1038/s41561-026-02106-x" rel="noopener noreferrer">https://doi.org/10.1038/s41561-026-02106-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41561-026-02106-x" rel="noopener noreferrer">10.1038/s41561-026-02106-x</a></p>
<p><strong>Keywords:</strong> Eocene–Oligocene transition, Antarctic glaciation, clumped isotope thermometry, benthic foraminifera, deep-ocean circulation, palaeoceanography, oxygen isotopes, North Atlantic Deep Water, Southern Ocean, IODP, paleoclimate, ocean gateways</p>
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