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3,036 results for “ct”
CT-Scans of Picogryllus carentonensis Josse and Desutter-Grandcolas, 2023
<p>Untreated CT-scans of <em>Picogryllus carentonensis </em>Josse and Desutter-Grandcolas, 2023. </p> <p> </p>
Transcriptome data derived from muscle and brain in CT-26-induced mouse cancer cachexia models
GEO Series GSE281701. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
A Normative Dataset of Healthy Pediatric Cranial Computed Tomography (CT) Images
This dataset contains cranial CT images from 100 healthy pediatric subjects, aged one month to ten years, to address the limited availability of public normative reference data for healthy pediatric cranial CT imaging. Supporting data includes subject demographics (age, sex, race/ethnicity) and a Python script for ease of data loading. It is designed to support research reproducibility by providing a common baseline for developing and validating AI algorithms, conducting normative studies of neurodevelopment, and serving as a control cohort for pediatric neurological research.
NPL Sample dataset scanned with Yxlon FF35 CT
<p>Dataset contrains three scans of the reference sample provided by NPL within the AdvanCT project. All three scans are performed with different conditions to provide variations.</p> <ul> <li>Voltage: 170kV and 180kV, respectively</li> <li>Current: 35 and 30µA, respectively</li> <li>Filter: 1 and 1.5mm Cu, respectively</li> <li>Current: 35 and 30 µA, respectively</li> <li>Focus detector distance: 900 mm</li> <li>Focus object distance: 450 mm</li> <li>Projections: 1440, TIFF, 2146x1762<br> </li> </ul> <p>For the exact parameters, compare this list to the file name.</p>
Appendix videos for PhD thesis: Characterisation of 3D networks and cell distributions in human lung tissue using correlative micro-CT and immunofluorescence
<p>Online repository of supplementary videos, detailed below, to compliment my PhD thesis.</p> <p><strong>A.7.1 Blood vessel segmentation with ITK-SNAP</strong></p> <p>Video showing the real time process of segmenting a blood vessel from µCT lung data using ITK-SNAP.</p> <p><strong>A.7.2. Lung 1 summary video</strong></p> <p>Video summary of the µCT data from method development tissue HL093 (Lung1) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.3. Lung 2 summary video</strong></p> <p>Video summary of the µCT data from method development tissue HL098 (Lung2) showing the 2D slices through the sectioned volume building into the 3D volume rendering. The segmentation of blood vessels (red) and Ck18 can also be seen in 2D and 3D.</p> <p><strong>A.7.4. Non-COPD-5 Blood vessel thickness-3D</strong></p> <p>A 360° rotation of the 3D blood vessel thickness map of the Non-COPD-5 tissue seen in Figure 4.5.</p> <p><strong>A.7.5. COPD-4 Blood vessel thickness-3D</strong></p> <p>A 360° rotation of the 3D blood vessel thickness map of the COPD-4 tissue seen in Figure 4.5.</p> <p><strong>A.7.6. COPD-4 Full segmentation of sectioned volume</strong></p> <p>A 360° rotation of the full segmentation seen in Figure 5.18. The µCT volume has been made semi-transparent to visualise the segmentation of blood vessels (red), Ck18 (blue), dilated AA1-mast cells (pink) and dilated CD68-macrophages (yellow).</p>
X-ray CT data for WD and WZX during the process of spontaneous imbibition
<p>Before spontaneous imbibition, X-ray μ-CT measurement at dry condition was firstly carried out to require the base information of CT intensity. Subsequently, imbibition liquid was injected into the acrylic plastic tube to fill up to the bottom surface of the coal plug (co-current imbibition). The imbibition fluid was removed after 15 minutes of spontaneous imbibition and prepare for CT scanning. Finally, repeating the above steps completes two samples under the same condition for 60 min, 120 min, 240 min, 600 min, 1440 min successively.Due to the large size of original 3-D reconstruction data (1920×1920×3620 for sampled WD and 1920×1920×4647 for sample WZX), the image was cropped into 600×600×2350 of sample WD and 600×600×3400 of sample WZX for subsequent analysis.</p>
Data set from: the potential of micro-CT for dating post-cranial bone fractures: a macroscopic, radiographic, and microtomography stud
<p>Qualitative data set from: The potential of micro-CT for dating post-cranial bone fractures: a macroscopic, radiographic, and microtomography stud</p>
Pelvic Bone Tumour Dataset CT
<p>Datasets of CT images of pelvic bone tumors images and their labels to be used for 3d Segmentation in CNN deep learning artificial intelligence , MONAI (Medical Open Network in Artificial Intelligence)</p>
Datasets for 'Fiber orientation in a whole mouse heart reconstructed by laboratory phase-contrast micro-CT'
<p>Tomographic dataset, vectorfield of the myocyte orientation and video for 'Fiber orientation in a whole mouse heart reconstructed by laboratory phase-contrast micro-CT' by M. Reichardt et al.. Reconstructed volume at the laboratory setup is given. The tomographic dataset is saved as .raw in single-precision floating-point format and the size of each dataset is indicated in the filename. The vectorfield is saved as .vtk used for Paraview.</p>
doi_dedup___::0158aadd7f902be6746270a0b193024f
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doi_dedup___::59161504fac23d9dfe8cf8453ba5f50b
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doi_dedup___::6b5bb786a2523e33bfa202c099423559
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doi_dedup___::9505e9c476f2363914d46ed0dfbfd665
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doi_dedup___::f626d2826e5e0715c82edf81b9f77338
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doi_dedup___::f68193df6b6f0f6f705510098fb351d8
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Meliodiosis pneumonia CT dataset
<p>The dataset contains 84 melioidosis pneumonia patients, which will be update continue.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.