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188 results for “X-ray computed”
Figure 3 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 3. Tomographic reconstruction of Trigonotarbus johnsoni based on specimen NHMUK I. 15860. A, dorsal view. B, fourth right leg, podomeres labelled. C, ventral view. D, ventrolateral view of the coxo-sternal region. Abbreviations: 1–12, segment number; CE1−2, coxal endites 1–2; CH, chelicerae; CL, clypeus; FE, femur; L1−L4, legs 1–4; ME, median eye tubercle; MT, metatarsus; PA, patella; PP, pedipalp; PR, projection; TA, tarsus; TI, tibia; TR, trochanter. Scale bars: A, C = 2 mm, B = 1 mm, D = 0.5 mm.
Figure 1 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 1. Reconstructions of representatives of nine trigonotarbid families, shown to scale. A, Palaeocharinus rhyniensis (Palaeocharinidae). B, Archaeomartus levis (Archaeomartidae). C, Anthracomartus hindi (Anthracomartidae). D, Anthracosiro woodwardi (Anthracosironidae). E, Trigonotarbus johnsoni (Trigonotarbidae). F, Lissomartus schucherti (Lissomartidae). G, Aphantomartus pustulatus (Aphantomartidae). H, Eophrynus prestvicii (Eophrynidae). I, Kreischeria wiedei (Kreischeriidae). Scale bar = 10 mm.
Figure 5 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 5. The results of the cladistic analysis. The four trees show, as labelled, the agreement subtree and strict consensus of both the equally weighted analysis and implied weights analyses with concavity constants (k) of 0.25, 1, 3, and 10.
Figure 4 in Trigonotarbus johnsoni Pocock, 1911, revealed by X-ray computed tomography, with a cladistic analysis of the extinct trigonotarbid arachnids
Figure 4. An idealized reconstruction of Trigonotarbus johnsoni based on the computed tomography scan of NHMUK I. 15860 and additional hand specimens. Scale bar = 2 mm.
FIGURE 1 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 1. Protostomopsis pandema gen. et sp. nov., holotype, No MP/4233/col. AG/no. 9441 [ISEA]: A, B – dorsal habitus photomicrograph, and corresponding X-ray μCT rendering; C, D – ventral habitus photomicrograph, and corresponding X-ray μCT rendering. Scale bars represent 0.25 mm.
FIGURE 7 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 7. Distribution of Ostomopsinae: extant species of Ostomopsis (green), and Eocene record of fossil Protostomopsis pandema gen. et sp. nov. (red).
FIGURE 6 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 6. Protostomopsis pandema gen. et sp. nov., MP/4233/col. AG/no.9441 [ISEA], X-ray μCT rendering of aedeagus: A – dorsal view; B – ventral view; C – lateral view. Abbreviations: ap—apex; ba—base. Scale bar represents 0.1 mm.
FIGURE 3 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 3. Protostomopsis pandema gen. et sp. nov., paratype, No P3300.138 [RSKM], habitus: A – dorsal view; B – ventral view; C – right lateral view. Scale bar represents 0.5 mm.
FIGURE 2 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 2. Protostomopsis pandema gen. et sp. nov., holotype, No MP/4233/col. AG/no. 9441 [ISEA] surrounded by fungal hyphae: A, B – right lateral habitus photomicrograph, and corresponding X-ray μCT rendering; C, D – left lateral habitus phot- omicrograph, and corresponding X-ray μCT rendering. Scale bars represent 0.25 mm.
FIGURE 4 in First fossil representative of Cerylonidae (Coleoptera: Coccinelloidea) described using X-ray micro-computed tomography, from Eocene Baltic amber
FIGURE 4. Protostomopsis pandema gen. et sp. nov., paratype, No P3300.138 [RSKM]: A – habitus, ventrolateral view; B – details of abdomen showing apical margin of ventrite 5. Scale bars represent 0.5 mm for Fig. A, 0.1 mm for Fig. B.
High-resolution X-ray computed tomography images of Bentheim sandstone under elevated stress
<p>A dry sample of Bentheim (or Bentheimer) sandstone was characterized using 3D X-Ray microscopy (Versa XRM-500, XRadia-Zeiss) at three different confining pressures of 1 MPa, 20 MPa, and 30 MPa and two voxel sizes of (1.5854 µm)<sup>3</sup> and (3.3452 µm)<sup>3</sup>. The 5-mm-diameter, 20-mm-long dry sample was placed inside a custom-made pressure sell (Lebedev et al, 2017). The sample was subjected to confining pressure of 20 MPa and 3200 radiographs were acquired, then confining pressure was reduced to 1MPa and the sample was imaged again, finally, the sample was pressurized up to 30MPa and the final image set was taken. Image reconstruction was done using internal software (XRadia-Zeiss).</p>
Effectiveness of Computer-Aided Detection Chest X-Ray Screening for Improving Tuberculosis Diagnostic Yield in Chinese Primary Health Care Settings: Study Protocol for a Prospective Cluster Randomized
ClinicalTrials.gov study NCT06963606. IPD Sharing: YES. Countries: 1. Publications: 1.
X-ray Fluoroscopy Fused With Computed Tomography (XFC) Technical Development
ClinicalTrials.gov study NCT00965679. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: X-Ray computed tomography of two mammoth calf mummies
Open the record for dataset details and reuse information.
Data from: X-ray computed tomography and its potential in ecological research: a review of studies and optimization of specimen preparation
Open the record for dataset details and reuse information.
Raw data for "First ptychographic X-ray computed tomography experiment at the NanoMAX beamline"
<p>Raw data used in "First ptychographic X-ray computed tomography experiment at the NanoMAX beamline" by M. Kahnt, S. Sala, U. Johansson, Z. Jiang, S. Kalbfleisch, F. Lenrick, J. H. Pikul and K. Thånell, submitted to the journal of applied crystallography.</p>
Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabrics reinforced composites
<p>Data behind the publications:</p> <p>Auenhammer, R.M., Mikkelsen, L.P., Asp, L., Blinzler, B. Automated X-ray computer tomography segmentation method for finite element analysis of non-crimp fabric reinforced composites. <em>Composite Structures, </em><strong>256</strong>, 113136, <a href="https://doi.org/10.1016/j.compstruct.2020.113136">https://doi.org/10.1016/j.compstruct.2020.113136</a>, 2021.</p> <p>Auenhammer, Robert M., Lars P. Mikkelsen, Leif E. Asp, Brina J. Blinzler, Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process, <em>Data in Brief, </em><strong>33</strong>, 106518, <a href="https://doi.org/10.1016/j.dib.2020.106518">https://doi.org/10.1016/j.dib.2020.106518</a>, 2020.</p> <p>Auenhammer, R.M., L.P. Mikkelsen, L.E. Asp, B.J. Blinzler, X-ray tomography based numerical analysis of stress concentrations in non-crimp fabric reinforced composites - assessment of segmentation methods. <em>IOP Conf. Ser.: Mater. Sci. Eng.</em> <strong>942</strong>, 012038, <a href="https://doi.org/10.1088/1757-899X/942/1/012038">https://doi.org/10.1088/1757-899X/942/1/012038</a>, 2020</p> <p>The data-set contain data from three samples: A, E and G. </p> <p>For each sample the data are saved in the follow format</p> <ul> <li>X-ray scan: nii-files</li> <li>SEM scan: tif-files</li> <li>Abaqus files: inp-files </li> <li>X-ray setting: pdf-files</li> <li>SEM settings: hdr-ascii files</li> </ul> <p> </p>
Data from: How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography
We introduce phase-diagram analysis, a standard tool in compressed sensing (CS), to the X-ray computed tomography (CT) community as a systematic method for determining how few projections suffice for accurate sparsity-regularized reconstruction. In CS, a phase diagram is a convenient way to study and express certain theoretical relations between sparsity and sufficient sampling. We adapt phase-diagram analysis for empirical use in X-ray CT for which the same theoretical results do not hold. We demonstrate in three case studies the potential of phase-diagram analysis for providing quantitative answers to questions of undersampling. First, we demonstrate that there are cases where X-ray CT empirically performs comparably with a near-optimal CS strategy, namely taking measurements with Gaussian sensing matrices. Second, we show that, in contrast to what might have been anticipated, taking randomized CT measurements does not lead to improved performance compared with standard structured sampling patterns. Finally, we show preliminary results of how well phase-diagram analysis can predict the sufficient number of projections for accurately reconstructing a large-scale image of a given sparsity by means of total-variation regularization.
Data from: Letting the "cat" out of the bag: pouch young development of the extinct Tasmanian tiger revealed by X-ray computed tomography
The Tasmanian tiger or thylacine (Thylacinus cynocephalus) was an iconic Australian marsupial predator that was hunted to extinction in the early 1900s. Despite sharing striking similarities with canids, they failed to evolve many of the specialized anatomical features that characterize carnivorous placental mammals. These evolutionary limitations are thought to arise from functional constraints associated with the marsupial mode of reproduction, in which otherwise highly altricial young use their well-developed forelimbs to climb to the pouch and mouth to suckle. Here we present the first 3D digital developmental series of the thylacine throughout its pouch life using X-ray computed tomography on all known ethanol-preserved specimens. Based on detailed skeletal measurements, we refine the species growth curve to improve age estimates for the specimens. Comparison of allometric growth trends in the appendicular skeleton (fore- and hindlimbs) with that of other placental and marsupial mammals revealed that despite their unique adult morphologies, thylacines retained a generalized early marsupial ontogeny. Our approach also revealed mislabelled specimens that possessed large epipubic bones (vestigial in thylacine) and differing vertebral numbers. All of our generated CT models are publicly available, preserving their developmental morphology and providing a novel digital resource for future studies of this unique marsupial.
Data from: Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography
Organismal phenotypes frequently involve multiple organ systems. Histology is a powerful way to detect cellular and tissue phenotypes, but is largely descriptive and subjective. To determine how synchrotron-based X-ray micro-tomography (micro-CT) can yield 3-dimensional whole-organism images suitable for quantitative histological phenotyping, we scanned whole zebrafish, a small vertebrate model with diverse tissues, at ~1 micron voxel resolutions. Using micro-CT optimized for cellular characterization (histo-tomography), brain nuclei can be computationally segmented and assigned to brain regions. Shape and volume can be computed for populations of nuclei, motor neurons and red blood cells. Computed cell density revealed striking individual phenotypic variation. Unlike histology, histo-tomography allows the detection of phenotypes that require millimeter scale context in multiple planes. We expect the computational and visual insights into 3D tissue architecture provided by histo-tomography to be useful for reference atlases, hypothesis generation, comprehensive organismal screens, and diagnostics.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.