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110 results for “direct imaging”
Spectral data for direct detection and quantification of phycocyanin in sediments by hyperspectral imaging: Standard calibration
<p>Accompanying data to publication: <strong>Direct detection and quantification of phycocyanin in sediments by hyperspectral imaging</strong></p> <p>Hyperspectral data with all their processing steps - normalization, ROI, subsets, masking - resulting in RABD indices of Chlorophyll a and Phycocyanin pigments from spiking experiments on sediments.</p>
Spectral data for direct detection and quantification of phycocyanin in sediments by hyperspectral imaging: Spiking Session 1 - Phycocyanin & Chlorophyll a
<p>Accompanying data to publication: <strong>Direct detection and quantification of phycocyanin in sediments by hyperspectral imaging</strong></p> <p>Hyperspectral data with all their processing steps - normalization, ROI, subsets, masking - resulting in RABD indices of Chlorophyll a and Phycocyanin pigments from spiking experiments on sediments.</p>
Spectral data for direct detection and quantification of phycocyanin in sediments by hyperspectral imaging
<p>Accompanying data to publication: <strong>Direct detection and quantification of phycocyanin in sediments by hyperspectral imaging</strong></p> <p>Excel files include hyperspectral indices of Chlorophyll a and Phycocyanin pigments from spiking experiments on sediments.</p> <p>Scripts used for producing plots in the publication and supplementary material are available on Renku; see the Software section.</p> <p>Hyperspectral data are submitted separately due to their size; see the Related works.</p>
Spectral data for direct detection and quantification of phycocyanin in sediments by hyperspectral imaging: Spiking Session 2 - Phycocyanin
<p>Accompanying data to publication: <strong>Direct detection and quantification of phycocyanin in sediments by hyperspectral imaging</strong></p> <p>Hyperspectral data with all their processing steps - normalization, ROI, subsets, masking - resulting in RABD indices of Chlorophyll a and Phycocyanin pigments from spiking experiments on sediments.</p>
Spectral data for direct detection and quantification of phycocyanin in sediments by hyperspectral imaging: Spiking Session 2 - Phycocyanin & Chlorophyll a
<p>Accompanying data to publication: <strong>Direct detection and quantification of phycocyanin in sediments by hyperspectral imaging</strong></p> <p>Hyperspectral data with all their processing steps - normalization, ROI, subsets, masking - resulting in RABD indices of Chlorophyll a and Phycocyanin pigments from spiking experiments on sediments.</p>
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
<p><strong>Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"</strong></p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>codeforclassification.zip</strong></p> <p>Code for applying model on unlabelled data. Test data is contained in 'sampledata.zip'</p> <p> </p> <p> </p> <p> </p>
Data from: Headache study: The management of chronic headache with referral from primary care to direct access to Magnetic Resonance Imaging (MRI) compared to Neurology services: an observational prospective study in London
<p><b>Objectives</b>. To evaluate the cost, accessibility and patient satisfaction implications of two clinical pathways used in the management of chronic headache.</p> <p><b>Intervention</b>. Management of chronic headache following referral from Primary Care that differed in the first appointment, either a Neurology appointment or an MRI brain scan.</p> <p><b>Design and setting</b>. A pragmatic, non-randomised, prospective, single-center study at a Central Hospital in London.</p> <p><b>Participants. </b>Adult patients with chronic headache referred from Primary to Secondary Care.</p> <p><b>Primary and secondary outcome measures.</b> Participants' use of health care services and costs were estimated using primary and secondary care databases and questionnaires quarterly up to 12 months post-recruitment. Cost analyses were compared using generalised linear models (GLM). Secondary outcomes assessed: access to care, patient satisfaction, headache burden and self-perceived quality of life using headache-specific (MIDAS, HIT-6) and a generic questionnaire (EQ-5D-5L).</p> <p><b>Results. </b>Mean (SD) cost up to 6 months post-recruitment per participant was £578 (£420) for the Neurology group (n=128) and £245 (£172) for the MRI group (n=95), leading to an estimated mean cost difference of £333 (95% CI £253 to £413, p<0.001). The mean cost difference at 12 months increased to £518 (95% CI £401 to £637, p<0.001). When adjusted for baseline and follow-up imbalances between groups, this remained statistically significant. The utilisation of brain MRI improved access to care compared to the Neurology group (p<0.001). Participants in the Neurology group reported higher levels of satisfaction associated with the pathway and led to greater change in care management.</p> <p><b>Conclusion. </b>Direct referral to brain MRI from Primary Care led to cost-savings and quicker access to care but lower satisfaction levels when compared with referral to Neurology services. Further research into the use of brain MRI for a subset of patient population more likely to be reassured by a negative brain scan should be considered.</p>
Raw diffraction images of a crystal of thermolysin solved by SAD from data collected by Direct Data Collection (DDC) using the ESRF RoboDiff goniometer
<p>In order to demonstrate the data collection capabilities of the RoboDiff diffraction data were collected from a crystal of thermolysin to demonstrate the suitability of the beamline MASSIF-1 and RoboDiff for ab initio phasing experiments using diffraction data collected at wavelengths at or remote from the absorption edges of the anomalous scattering elements contained in crystals.</p>
Raw diffraction images of a crystal of Bovine trypsin collected by Direct Data Collection (DDC) using the ESRF RoboDiff goniometer
<p>In order to demonstrate the data collection capabilities of the RoboDiff diffraction data were collected from a crystal of Bovine trypsin to demonstrate the suitability of the beamline MASSIF-1 and RoboDiff for standard data collection.</p>
Raw diffraction images of a crystal of Ferulic Acid Esterase (FAE) solved by SAD from data collected by Direct Data Collection (DDC) using the ESRF RoboDiff goniometer
<p>In order to demonstrate the data collection capabilities of the RoboDiff diffraction data were collected from a crystal of FAE to demonstrate the suitability of the beamline MASSIF-1 and RoboDiff for ab initio phasing experiments using diffraction data collected at wavelengths at or remote from the absorption edges of the anomalous scattering elements contained in crystals.</p>
Precise dynamical masses of new directly imaged companions from combining relative astrometry, radial velocities, and HIPPARCOS-Gaia eDR3 accelerations
<p>The VLT/SPHERE reduced images using the Geneva reduction pipeline, GRAPHIC, used to obtain the astrometry and photometry as published in Rickman et al. 2022. Each .fits file has been cosmetically corrected (i.e. bad pixels), background-subtracted, and flat-fielded. These files correspond to the 'flux frames' of the imaging observing sequence that was used to calculate the astrometry and photometry for each companion. The raw data are also available on the ESO archive with the relevant program numbers as listed in Rickman et al. 2022.</p>
Localization files for "Imaging proteins sensitive to direct fusions using transient peptide-peptide interactions"
<p>Localization csv files for super-resolution images taken and analysed for "Imaging proteins sensitive to direct fusions using transient peptide-peptide interactions". Single localizations were processed using the Peak Fit function of the Fiji (Java 8 2017 release) GDSC SMLM plugin, using a signal strength threshold of 30, a minimum photon threshold of 100, and a precision threshold of 15-30 nm (precision threshold used is indicated in the file name). </p>
An Evaluation of a Self-contained Direct Digital Radiography System for Breast Specimen Imaging
ClinicalTrials.gov study NCT01379092. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Magic Angle Direction Imaging (MADI) ACL Study
ClinicalTrials.gov study NCT07366619. IPD Sharing: NO. Countries: 1. Publications: 12.
MRI/US Fusion Imaging and Biopsy in Combination With Nanoparticle Directed Focal Therapy for Ablation of Prostate Tissue
ClinicalTrials.gov study NCT02680535. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Retrospective Study on the Direction of Artificial Intelligence in Identifying Cranial Trauma CT Imaging
ClinicalTrials.gov study NCT06230419. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Headache study: The management of chronic headache with referral from primary care to direct access to Magnetic Resonance Imaging (MRI) compared to Neurology services: an observational prospective study in London
Open the record for dataset details and reuse information.
Data from: Seeing in the dark: Using thermal imaging to directly observe nocturnal migration
Open the record for dataset details and reuse information.
A geotagged image dataset with compass directions for studying the drivers of farmland abandonment
<p>In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera which incorporates GPS and a digital compass sensor. The photographs are taken as a part of a GIS database. Using their Exif metadata we created a layer of Geographic Fields Of View (GeoFOVs) that can be used to perform very specific spatial queries. The dataset contains 2,235 pictures and GIS layers of GeoFOVs contextualizing the agricultural plots being photographed.</p>
A Functional Magnetic Resonance Imaging Investigation of Transcranial Direct Current Stimulation
ClinicalTrials.gov study NCT03623815. IPD Sharing: NO. Countries: 0. Publications: 3.
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.