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datasets available to search
ShareScore release 0.9.0
Dataset results
232 results for “Optical images”
OPtical Frequency Domain Imaging Versus INtravascular Ultrasound in Percutaneous Coronary InterventiON - OPINION Imaging
ClinicalTrials.gov study NCT01873222. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of Optical Imaging With Light From Radiotracers in Cancer Patients
ClinicalTrials.gov study NCT03484884. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Semi-manual Vessel Density Analysis on Optical Coherence Tomography Angiography Images of Healthy Adults
ClinicalTrials.gov study NCT03590899. IPD Sharing: NO. Countries: 1. Publications: 20.
A Non-interventional Study to Assess the Influence of Automated Optical Coherence Tomography Image Enrichment With Segmentation Information on Disease Activity Assessment in Patients Treated With Lice
ClinicalTrials.gov study NCT04662944. IPD Sharing: NO. Countries: 5. Publications: 0.
LSFM-image z-stack of an optically cleared porcine adipose tissue sample
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Sensing and Imaging Dataset for Ground-based Adaptive Optics (SIDGAO)
<p>our synthetic Sensing and Imaging Dataset for Ground-based Adaptive Optics.</p> <p>This Project is Partially Supported by the National Natural Science Foundation of China(No.62005221) and the State Key Laboratory of Applied Optics(No.SKLAO2021001A04).</p>
Multi-scale optical coherence tomography imaging and visualization of Vermeer's Girl with a Pearl Earring
<p>The data sets, software, and figures accompany the publication:</p> <p>"Multi-scale optical coherence tomography imaging and visualization of Vermeer's Girl with a Pearl Earring", Optics Express 28, 26239 (2020) <a href="https://doi.org/10.1364/OE.390703">https://doi.org/10.1364/OE.390703</a></p> <ul> <li>Fig4_largescaleOCT.pdf, high resolution image of figure 4 of the manuscript</li> <li>Fig5_mediumscaleOCT.pdf, high resolution image of figure 5 of the manuscript</li> <li>Fig6_smallscaleOCT.pdf, high resolution image of figure 6 of the manuscript</li> <li>GWPE_DEMO_V5.zip<br> Zip file of a Windows executable of the virtual rendering of the Girl with the Pearl Earring. The readme file describes the operation of the virtual rendering.</li> <li>Stitching_README.txt Describes the stitching software and the accompanying data sets</li> <li>MS-OCT surface data: <ul> <li>SurfaceStitchedKwadrant11.npy</li> <li>SurfaceStitchedKwadrant12.npy</li> <li>SurfaceStitchedKwadrant21.npy</li> <li>SurfaceStitchedKwadrant22.npy</li> <li>UpperInterfaceMatrixRawdataKwadrant11.npy</li> </ul> </li> <li>MS-OCT thickness data <ul> <li>FullResGlazeStratigraphyThicknessKwadrant11.npy</li> <li>FullResGlazeStratigraphyThicknessKwadrant12.npy</li> <li>FullResGlazeStratigraphyThicknessKwadrant21.npy</li> <li>FullResGlazeStratigraphyThicknessKwadrant22.npy</li> </ul> </li> <li>MS-OCT Scattering strength data <ul> <li>FullResScatteringStrengthKwadrant11.npy</li> <li>FullResScatteringStrengthKwadrant12.npy</li> <li>FullResScatteringStrengthKwadrant21.npy</li> </ul> </li> <li>Main.py, DataAnalysisFunctionsRepository.py, and ReadAndCombineKwadrantData.py are Python files for stitching the four quadrants of data together. Runs in Python >3.5. Full stitching image takes more than an hourFullResScatteringStrengthKwadrant22.npy</li> <li>Plot_measure.py and plot_fit.py<br> Analysis of the BRDF measurements of the black underlayer background (RU1) and glaze layer (RU5). Runs in Python > 3.5</li> <li>Visualization1.ave<br> Video of the multi-scale multi-parameter OCT data set of the Girl</li> <li>Visualization2.mp4<br> Video showing an impression of the interactive demo of the Girl <ul> </ul> </li> </ul>
Textile fibre found at sámi residence from the 18th century. Imaged through optical microscope.
<p>Micrograph of the textile fibre connected to the chain of one of the the metal objects. Lead and tin corrosion can be seen on the fibre.</p>
Data from: The application of optical coherence tomography to image subsurface tissue structure of Antarctic krill Euphausia superba
Many small open ocean animals, such as Antarctic krill, are an important part of marine ecosystems. To discover what will happen to animals such as krill in a changing ocean, experiments are run in aquaria where conditions can be controlled to simulate water characteristics predicted to occur in the future. The response of individual animals to changing water conditions can be hard to observe, and with current observation techniques it is very difficult to follow the progress of an individual animal through its life. Optical coherence tomography (OCT) is an optical imaging technique that allows images at high resolution to be obtained from depths up to a few millimeters inside biological specimens. It is compatible with in vivo imaging and can be used repeatedly on the same specimens. In this work, we show how OCT may be applied to post mortem krill samples and how important physiological data such as shell thickness and estimates of organ volume can be obtained. Using OCT we find an average value for the thickness of krill exoskeleton to be (30±4) µm along a 1 cm length of the animal body. We also show that the technique may be used to provide detailed imagery of the internal structure of a pleopod joint and provide an estimate for the heart volume of (0.73±0.03) mm3.
Data from: Optical data compression in time stretch imaging
Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.
Utility of standard diffusion-weighted magnetic resonance imaging for the identification of ischemic optic neuropathy in giant cell arteritis
<p><span>Purpose: To assess diffusion abnormalities of the optic nerve (ON) in giant cell arteritis (GCA) patients with acute onset of visual impairment (VI) using diffusion-weighted magnetic resonance imaging (DWI).</span></p> <p><span>Methods: DWI scans of GCA patients with acute VI were evaluated in a case-control study. Two blinded neuroradiologists assessed randomized DWI scans of GCA and controls for ON restricted diffusion. Statistical quality criteria and inter-rater reliability (IRR) were calculated. DWI findings were compared to ophthalmological assessments.</span></p> <p><span>Results: 35 GCA patients (76.2 ± 6.4 years; 37 scans) and 35 controls (75.7±7.6 years; 38 scans) were included. ON restricted diffusion was detected in 81.1% (Reader 1) of GCA scans. Localization of ON restricted diffusion was at the optic nerve head in 80.6%, intraorbital in 11.1% and affecting both segments in 8.3%. DWI discerned affected from unaffected ON with a sensitivity, specificity, positive and negative predictive value of 87%/99%/96%/96%. IRR for ON restricted diffusion was κ<sub>inter </sub>= 0.72 (95% CI 0.59‑0.86). DWI findings challenged ophthalmologic diagnoses in 4 cases (11.4%).</span></p> <p><span>Conclusions: DWI visualizes anterior and posterior ON ischemia in GCA patients with high sensitivity and specificity, as well as substantial inter-rater reliability. DWI may complement the ophthalmological assessment in patients with acute VI.</span></p>
Laser printed cells, Optical microscopy image
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Data for "Scattering-Based Super-Resolution Optical Fluctuation Imaging"
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A Pilot Study of Tomographic Optical Breast Imaging (DBT-TOBI) to Monitor Response to Neoadjuvant Therapy
ClinicalTrials.gov study NCT03822312. IPD Sharing: YES. Countries: 1. Publications: 0.
Electromagnetic Tracking and Optical Imaging With ICG for Hepatic Biopsies
ClinicalTrials.gov study NCT04258566. IPD Sharing: YES. Countries: 1. Publications: 0.
Optical Frequency Domain Imaging for Assessing Colonic Polyps
ClinicalTrials.gov study NCT01439087. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluate the Use of Optical Frequency Domain Imaging (OFDI) for Celiac Disease in Children, Adolescents and Young Adults
ClinicalTrials.gov study NCT01439035. IPD Sharing: NO. Countries: 1. Publications: 0.
Optical Imaging of Head and Neck Cancer
ClinicalTrials.gov study NCT01456143. IPD Sharing: YES. Countries: 1. Publications: 0.
Optical Frequency Domain Imaging (OFDI) Assessment in Radiofrequency Ablation
ClinicalTrials.gov study NCT01439594. IPD Sharing: NO. Countries: 1. Publications: 0.
Non-contact Intraoperative Optical Imaging During Spinal Procedures
ClinicalTrials.gov study NCT03391089. IPD Sharing: NO. Countries: 0. Publications: 7.
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.