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226 results for “Microscope image”
Microscopic Images for the Development of a Rapid Vaginitis Diagnostic Device
ClinicalTrials.gov study NCT03585049. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Determining the subcellular location of new proteins from microscope images using local features
Open the record for dataset details and reuse information.
Light and transmission electron microscopic images for quantitative lung morphology of mechanically ventilated rat lungs.
<p>The joint American Thoracic Socity (ATS) and European Respiratory Society (ERS) guidelines recommend design-based stereology for quantitative morphology of lung structures in health and disease (DOI:<a href="https://doi.org/10.1164/rccm.200809-1522ST"> 10.1164/rccm.200809-1522ST</a>). Design-based stereology is founded on stochatic geometry and rigorous sampling protocols to obtain a set of images which is representative for the whole organ so that the generated data are accurate (unbiased) and sufficiently precise. Regarding quantitative light and electron microscopic analyses lungs were fixed by airway instillation fixation using 1.5 % glutaraldehyde, 1.5% paraformaldehyde in 0.15M HEPES buffer at a hydrostatic pressure of 25 cmH<sub>2</sub>O. Afterwards lungs were subjected to a systematic uniform random sampling for light and transmission electron microscopy based on established protocols (DOI: 10.1016/j.aanat.2013.04.011). Regarding light microscopy, 3 to 4 tissue samples were taken randomly per lung, embedded in plastic (Technovit 8100), sectioned (thickness of 1.5 µm) and stained with toluidine blue. Whole slides were scanned (AxioScanZ.1) and subjected to a systematic uniform area sampling process using newCAST-stereology software (Visiopharm, Hoersholm, Denmark) to image 10% of the section. Depending on the size of the section the goal was to obtain at least 60 (in general >100) randomized light microscopic images per lung for quantitative assessment. Moreover, 6 tissue blocks were randomly taken for transmission electron microscopy, embedded in epoy resin (Epon) and sectioned with a thickness of 80nm. Using an electron microscope (FEI Morgagni transmission electron microscope, Eindhoven, The Netherlands), a systematic uniform area samplinbg was performed and at least 100 micrographs were randomly taken per lung. The dataset in this publication contains the representative light and transmission electron microscopic images of lungs from six different experimental groups (male Fisher 344 rats, aged 11-13 weeks). Healthy rat lung were either not mechanically ventilated (H/ No ventil) or mechanically ventilated with positive end-exspiratory pressure (PEEP) = 1 cmH2O (group H/PEEP1) or PEEP = 5 cmH2O (group H/PEEP5). In addition, lungs suffering from occult lung injury due to bleomycin instillation were also either not mechanically ventilated (B/No ventil) or ventiled with PEEP = 1 cmH2O (B/PEEP1) or PEEP = 5 cmH2O (B/PEEP5). The respiratory rate was 90/min and the tidal volume was 10ml/ kg bodyweight.</p>
Parasitic Egg Detection and Classification in Microscopic Images
<div> <p>Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals. Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine faecal examination for parasitic diseases, this challenge aims to gather experts in the field to develop robust automated methods to detect and classify eggs of parasitic worms in a variety of microscopic images. Participants will work with a large-scale dataset, containing 11 types of parasitic eggs from faecal smear samples. They are the main interest because of causing major diseases and illness in developing countries. We open to any techniques used for parasitic egg recognition, ranging from conventional approaches based on statistical models to deep learning techniques. Finally, the organisers expect a new collaboration come out from the challenge.</p> </div> <h4>Instructions:</h4> <div> <p>Datasets contain 11 parasitic egg types. Each category has 1,000 images.</p> <ul> <li>category_id 0: Ascaris lumbricoides</li> <li>category_id 1: Capillaria philippinensis</li> <li>category_id 2: Enterobius vermicularis</li> <li>category_id 3: Fasciolopsis buski</li> <li>category_id 4: Hookworm egg</li> <li>category_id 5: Hymenolepis diminuta</li> <li>category_id 6: Hymenolepis nana</li> <li>category_id 7: Opisthorchis viverrine</li> <li>category_id 8: Paragonimus spp</li> <li>category_id 9: Taenia spp. egg</li> <li>category_id 10: Trichuris trichiura</li> </ul> <p>Please visit the Challenge Homepage (https://icip2022challenge.piclab.ai/).</p> <p>Results must be submitted to the Leaderboard at the Challenge Homepage (https://icip2022challenge.piclab.ai/submission/).</p> <p>Please cite our paper for the usage after the competition: <a href="https://arxiv.org/abs/2208.06063" target="_blank" rel="noopener">N. Anantrasirichai, T. H. Chalidabhongse, D. Palasuwan, K. Naruenatthanaset, T. Kobchaisawat, N. Nunthanasup, K. Boonpeng, X. Ma and A. Achim, "ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results," IEEE ICIP2022</a>.</p> </div>
Low-Cost Microscopic Images for Parasitic Egg Detection
<p>Our dataset contains 10<span><span><span>×</span></span></span> magnification microscopic images with a resolution of 640<span><span><span>×</span></span></span>480 pixels. Four different types of parasitic eggs present: 67 images of <em>Ascaris lumbricoides</em> (AL), 27 images of <em>Hymenolepis diminuta</em> (HD), 32 images of <em>Fasciolopsis buski</em> (FB) and 36 images of <em>Taenia</em> spp. (Tn). The images were obtained from Chulalongkorn University, Thailand, and were labelled by experts. </p>
Multimodal 2D and 3D microscopic mapping of growth cartilage by computational imaging techniques – a short review including new research
<p>This dataset contains the phase and amplitude maps obtained with Fourier ptychographic microscopy and the X-ray diffraction tensor tomography dataset described in the journal article "Multimodal 2D and 3D microscopic mapping of growth cartilage by computational imaging techniques".</p>
Figure 6 from: Parra-Gómez A, Pérez-Schultheiss J, Fernández LD (2024) Redescription of the enigmatic myriapod Hanseniella chilensis (Hansen, 1903) (Symphyla, Scutigerellidae) based on scanning electron microscope images of Chilean specimens. ZooKeys 1198: 1-15. https://doi.org/10.3897/zookeys.1198.119723
Figure 6 A, B habitus of the species C general habitat where the species can be found.
Evaluation of a Novel Optical Microscope With a Deep Depth of Field (DeepDOF) to Provide Histologic-quality Images on Cervical Biopsies and Loop Electrosurgical Excision Procedure (LEEP) Specimens at
ClinicalTrials.gov study NCT06850402. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of 3 in Vivo Microscopic Imaging Techniques for the Diagnosis of Pigmented Tumors
ClinicalTrials.gov study NCT06046144. IPD Sharing: NO. Countries: 1. Publications: 0.
Real Time Microscopic Imaging During Robot Assisted Prostate Cancer Surgery
ClinicalTrials.gov study NCT00792961. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Image Quality and Safety of the MyVeo Surgical Visualization Headset During Standard Neurosurgical and Reconstructive Procedures Using Compatible Microscopes.
ClinicalTrials.gov study NCT07164053. IPD Sharing: YES. Countries: 2. Publications: 0.
Comparative Research on the Accuracy of Margin Interpretation in Breast-Conserving Surgery for Breast Cancer: Cell Microscopic Imaging and Standard Frozen Pathology
ClinicalTrials.gov study NCT07029646. IPD Sharing: Not stated. Countries: 0. Publications: 0.
MER1 Microscopic Imager Science Raw Data Bundle
This bundle contains raw data from the Microscopic Imager (MI) on Mars Exploration Rover 1 (Opportunity). These data were produced by the science team.
MER2 Microscopic Imager Science Calibrated Data Bundle
This bundle contains calibrated data from the Microscopic Imager (MI) on Mars Exploration Rover 2 (Spirit). These data were produced by the science team.
MER2 Microscopic Imager Science Raw Data Bundle
This bundle contains raw data from the Microscopic Imager (MI) on Mars Exploration Rover 2 (Spirit). These data were produced by the science team.
MER1 Microscopic Imager Science Calibrated Data Bundle
This bundle contains calibrated data from the Microscopic Imager (MI) on Mars Exploration Rover 1 (Opportunity). These data were produced by the science team.
MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images
<p>This dataset provides the first comprehensive collection of histopathological images for the study and automated diagnosis of mycetoma, a neglected tropical disease. The dataset includes 864 microscopic images from 142 patients, annotated with binary masks for grain detection and segmentation. The images represent both eumycetoma (fungal, FM) and actinomycetoma (bacterial, BM) cases, offering a valuable resource for developing and evaluating AI models for disease classification and segmentation tasks. This dataset supports the advancement of digital pathology solutions.</p> <p><strong>Keywords: </strong>Mycetoma, histopathology diagnosis, Microscopic images, Image Analysis, Classification, Segmentation.</p>
MER 2 MARS MICROSCOPIC IMAGER SCIENCE EDR VERSION 1.0
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MER 1 MARS MICROSCOPIC IMAGER LINEARIZED RDR OPS V1.0
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MER 1 MARS MICROSCOPIC IMAGER INVERSE LUT RDR OPS V1.0
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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.