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109
datasets available to search
ShareScore release 0.9.0
Dataset results
109 results for “in vivo imaging”
In Vivo Imaging of Therapeutic Electric Current Flow
ClinicalTrials.gov study NCT02453763. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Ex Vivo Multimodal Imaging of Upper Aerodigestive Epithelium
ClinicalTrials.gov study NCT01321892. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Label-free imaging of M1 and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM
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Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors
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Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo
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CT DICOM studies from: In vivo measurements of lung volumes in ringed seals: insights from biomedical imaging
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Ultrafast photochemistry produces superbright short-wave infrared dots for low-dose in vivo imaging
<p>Dataset corresponding to the manuscript available at <a href="https://zenodo.org/record/3906552#.XvNokCgzbtQ">https://zenodo.org/record/3906552#.XvNokCgzbtQ</a></p>
Data from: An in vivo three-dimensional Magnetic Resonance Imaging-based averaged brain collection of the neonatal piglet (Sus scrofa)
Due to the fact that morphology and perinatal growth of the piglet brain is similar to humans, use of the piglet as a translational animal model for neurodevelopmental studies is increasing. Magnetic resonance imaging (MRI) can be a powerful tool to study neurodevelopment in piglets, but many of the MRI resources have been produced for adult humans. Here, we present an average in vivo MRI-based atlas specific for the 4-week-old piglet. In addition, we have developed probabilistic tissue classification maps. These tools can be used with brain mapping software packages (e.g. SPM and FSL) to aid in voxel-based morphometry and image analysis techniques. The atlas enables efficient study of neurodevelopment in a highly tractable translational animal with brain growth and development similar to humans.
Data from: Setup in a clinical workflow and impact on radiotherapy routine of an in vivo dosimetry procedure with an electronic portal imaging device
High conformal techniques such as intensity-modulated radiation therapy and volumetric-modulated arc therapy are widely used in overloaded radiotherapy departments. In vivo dosimetric screening is essential in this environment to avoid important dosimetric errors. This work examines the feasibility of introducing in vivo dosimetry (IVD) checks in a radiotherapy routine. The causes of dosimetric disagreements between delivered and planned treatments were identified and corrected during the course of treatment. The efficiency of the corrections performed and the added workload needed for the entire procedure were evaluated. The IVD procedure was based on an electronic portal imaging device. A total of 3682 IVD tests were performed for 147 patients who underwent head and neck, abdomen, pelvis, breast, and thorax radiotherapy treatments. Two types of indices were evaluated and used to determine if the IVD tests were within tolerance levels: the ratio R between the reconstructed and planned isocentre doses and a transit dosimetry based on the γ-analysis of the electronic portal images. The causes of test outside tolerance level was investigated and corrected and IVD test was repeated during subsequent fraction. The time needed for each step of the IVD procedure was registered. Pelvis, abdomen, and head and neck treatments had 10% of tests out of tolerance whereas breast and thorax treatments accounted for up to 25%. The patient setup was the main cause of 90% of the IVD tests out of tolerance and the remaining 10% was due to patient morphological changes. An average time of 42 min per day was sufficient to monitor a daily workload of 60 patients in treatment. This work shows that IVD performed with an electronic portal imaging device is feasible in an overloaded department and enables the timely realignment of the treatment quality indices in order to achieve a patient's final treatment compliant with the one prescribed.
Data from: Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images
The ability to measure minute structural changes in neural circuits is essential for long-term in vivo imaging studies. Here, we propose a methodology for detection and measurement of structural changes in axonal boutons imaged with time-lapse two-photon laser scanning microscopy (2PLSM). Correlative 2PLSM and 3D electron microscopy (EM) analysis, performed in mouse barrel cortex, showed that the proposed method has low fractions of false positive/negative bouton detections (2/0 out of 18), and that 2PLSM-based bouton weights are correlated with their volumes measured in EM (r=0.93). Next, the method was applied to a set of axons imaged in quick succession to characterize measurement uncertainty. The results were used to construct a statistical model in which bouton addition, elimination, and size changes are described probabilistically, rather than being treated as deterministic events. Finally, we demonstrate that the model can be used to quantify significant structural changes in boutons in long-term imaging experiments.
In-vivo two-photon imaging of aberrant Ca2+-waves following viral transduction of Ca2+ indicators in mice
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Fig. 3 in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 3. Amblyomma variegatum female before engorgement
Data from: Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images
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Data from: An in vivo three-dimensional Magnetic Resonance Imaging-based averaged brain collection of the neonatal piglet (Sus scrofa)
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Data from: An ultrasound image-based dynamic fusion modeling method for predicting the quantitative impact of in vivo liver motion on intraoperative HIFU therapies: investigations in a porcine model
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Data from: Setup in a clinical workflow and impact on radiotherapy routine of an in vivo dosimetry procedure with an electronic portal imaging device
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In vivo imaging and deep learning tools expose two distinct E2F cell cycle transcriptional relays (in preparation)
GEO Series GSE118851. Mus musculus. 130 samples. Type: Expression profiling by high throughput sequencing.
Single cell imaging of T cell immunotherapy responses in vivo
GEO Series GSE179401. Danio rerio. 9 samples. Type: Expression profiling by high throughput sequencing.
In Vivo Imaging Reveals Exosome-Mediated Intercellular Communication in Lens Development
GEO Series GSE298454. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Image-seq: spatially-resolved single cell sequencing guided by in situ and in vivo imaging
GEO Series GSE188902. Mus musculus. 153 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.