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ShareScore release 0.7.1
Dataset results
37 results for “imaging platform”
DNA Origami Raw AFM Data - NanoLocz: Image analysis platform for AFM, high-speed AFM and localization AFM
<p>The data file is in the original ARIS data format as captured on a Cypher VRS1250 AFM (Oxford Instruments)<br><br><br></p>
Image descriptions for 7471 of the DEArt images, obtained via the Zooniverse crowdsourcing platform
<p>This dataset contains crowdsourced image descriptions for 7471 images from the DEArt dataset. There are typically 4-5 descriptions per image, provided by volunteers of the Zooniverse crowdsourcing platform. The guidelines we used, together with some examples of possible captions, are also published in Zooniverse. We are in debt with all the Zooniverse volunteers and coordinators, and in particular with Samantha Blickhan, for making this possible. Some image descriptions were filtered out whenever they did not contain any textual data, nevertheless the dataset may still contain some descriptions that are not according to the guidelines we provided to the annotators. The dataset is a data export from Zooniverse in CSV format, in which the user information has been anonymized. The CSV also includes a field with the filename of the described image in the DEArt dataset.</p>
Example structure of data sent from a collection management system to a citizen science platform, multi-imaged case
<p>Illustrative example of data format following Darwin Core to send from a collection management system to a citizen science platform. Multi-imaged vertebrate specimen case : http://coldb.mnhn.fr/catalognumber/mnhn/zo/2013-152</p> <p>Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Data from: SLICE-MSI: A machine learning interface for system suitability testing of mass spectrometry imaging platforms
Open the record for dataset details and reuse information.
BEHAV3D: A 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response
<p>The use of patient-derived material and immune cell co-cultures in modeling immune-oncology has gained significant interest for understanding and manipulating immune cell tumor targeting in a patient-specific context. However, current protocols have limitations in visualizing and analyzing the dynamic cellular features of these living culture systems. We recently developped a workflow names BEHAV3D, that combines multi-color live 3D imaging and computational tools to analyze cell death dynamics, classify T cell behavior, and generate data-informed 3D images and videos. Here we provide some example pre-processed dataset of videos of two co-culture set ups: breast cancer Patient Derived Organoids with αβ T cells engineered to express a γδ TCR (TEGs) and Acute Lymphoblastic Leukemia cells with CD19 CART cells.</p>
Transwell-Based Microfluidic Platform for High-Resolution Imaging of Airway Tissues
<div> <div> <div> <div> <p>This dataset contains original data collected during our study on the development and characterization of a transwell-based microfluidic platform designed for high-resolution imaging of airway tissues. It includes quantitative measurements of various features of live airway epithelium tissues, such as Trans-Epithelial Electrical Resistance (TEER), Cilia Beating Frequency (CBF), LDH Release (a cytotoxicity assay), tissue thickness, and cell number. Additionally, the dataset provides results from computational simulations modeling the shear stress in the microchannel generated by perfusion.</p> </div> </div> </div> </div>
BEHAV3D: A 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response
Open the record for dataset details and reuse information.
MALDI imaging data uploaded to Metaspace and ProteomeExchange platforms (2016)
<p>MALDI-imaging datasets from different animals (<em>Bathymodiolus</em> spp., <em>Kentrophoros</em> sp., <em>Lumbricus terrestris</em>, <em>Olavius algarvensis</em>, <em>Paracatenula</em> sp.) that were uploaded to Metaspace (http://52.19.27.255/) and ProteomeXchange (http://Proteomexchange.org/) platforms until October 2016.</p>
FIGURE 2. A. Image taken from a in Preliminary account on the bryozoans of the Alboran platform (Western Mediterranean), with description of two new species
FIGURE 2. A. Image taken from a ROV, of the seafloor in the vicinity of sampling tracks, at 107 m depth. B-E. Images of the samples on board. B. BV12, 112–120 m. C. BV13, 95–99 m. D. BV14, 96–100 m. E. BV15, 96 m.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Maestro Platform-Generated Dataset of Classified Bird Images
<p>The bird dataset, mentioned in the publication titled "Evaluation of Maestro, an extensible general-purpose data gathering and data classification platform" comprises two files: a zip file containing the classified files and a JSON file that includes the corresponding classification results.</p>
Maestro Platform-Generated Dataset of Classified Bird Images
<p>The bird dataset, mentioned in the publication titled "Maestro: An Extensible General-Purpose Data Gathering and Data Classification Platform," comprises two files: a zip file containing the classified files and a JSON file that includes the corresponding classification results.</p>
IntelliWell: An AI-Assisted Imaging Platform for Detection and Location of Ultra-Rare Testicular Sperm in Surgical Specimens
ClinicalTrials.gov study NCT07074015. IPD Sharing: NO. Countries: 0. Publications: 3.
The Development of Quantitative Ultrasound Imaging Software Platform
ClinicalTrials.gov study NCT05836246. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: Incubator-independent cell-culture perfusion platform for continuous long-term microelectrode array electrophysiology and time-lapse imaging
Most in vitro electrophysiology studies extract information and draw conclusions from representative, temporally limited snapshot experiments. This approach bears the risk of missing decisive moments that may make a difference in our understanding of physiological events. This feasibility study presents a simple benchtop cell-culture perfusion system adapted to commercial microelectrode arrays (MEAs), multichannel electrophysiology equipment and common inverted microscopy stages for simultaneous and uninterrupted extracellular electrophysiology and time-lapse imaging at ambient CO2 levels. The concept relies on a transparent, replica-casted polydimethylsiloxane perfusion cap, gravity- or syringe-pump-driven perfusion and preconditioning of pH-buffered serum-free cell-culture medium to ambient CO2 levels at physiological temperatures. The low-cost microfluidic in vitro enabling platform, which allows us to image cultures immediately after cell plating, is easy to reproduce and is adaptable to the geometries of different cell-culture containers. It permits the continuous and simultaneous multimodal long-term acquisition or manipulation of optical and electrophysiological parameter sets, thereby considerably widening the range of experimental possibilities. Two exemplary proof-of-concept long-term MEA studies on hippocampal networks illustrate system performance. Continuous extracellular recordings over a period of up to 70 days revealed details on both sudden and gradual neural activity changes in maturing cell ensembles with large intra-day fluctuations. Correlated time-lapse imaging unveiled rather static macroscopic network architectures with previously unreported local morphological oscillations on the timescale of minutes.
Data from: GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown roots systems
Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
Segregated Nanocompartments Containing Therapeutic Enzymes and Imaging Compounds within DNA-Zipped Polymersome Clusters for Advanced Nanotheranostic Platform
<p>Data underlying the figures in the publication “Segregated Nanocompartments Containing Therapeutic Enzymes and Imaging Compounds within DNA-Zipped Polymersome Clusters for Advanced Nanotheranostic Platform”, published in <em>Small,</em> <strong>2020</strong>, 16, 1906492.</p> <p><a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.201906492">https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.201906492</a></p> <p>Table of contents:</p> <p><strong>1. Figure 2</strong>; Zip file containing the numerical data for the graphs of <em>Figure 2 (2c, 2e, 2g & 2i)</em>.</p> <p><strong>2. Figure 3</strong>; Zip file containing the numerical data for the graphs of <em>Figure 3 (3a-d)</em>.</p> <p><strong>3. Figure 4</strong>; Zip file containing the numerical data for the graphs of <em>Figure 4 (4a-d)</em>.</p> <p><strong>4. Figure 5</strong>; Zip file containing the CLSM microscopic images from four different locations of 488-633-Ncomp clusters attached to the surface (<em>Figure 5a</em>) and images of the merged DY-633 and Atto-488 channels of the four locations with colocalized regions appearing in white (<em>Figure 5b</em>).</p> <p>The dataset also includes the numerical data/images for the <em>Figures S2, S3, S5, S7, S9, S10, S11, S13, S14</em> and <em>S16-S22</em>.</p>
Data from: GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown roots systems
Open the record for dataset details and reuse information.
Data from: Incubator-independent cell-culture perfusion platform for continuous long-term microelectrode array electrophysiology and time-lapse imaging
Open the record for dataset details and reuse information.
Comparison of imaging based single-cell resolution spatial transcriptomics profiling platforms using formalin-fixed paraffin-embedded tumor samples [CosMx]
GEO Series GSE299786. Homo sapiens. 4 samples. Type: Other.
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.