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Dataset results
47 results for “photoacoustics”
SIMPA - Example data for realistic photoacoustic images
<p>To visually demonstrate the capabilities of the current version of SIMPA, an image of a human forearm was recorded from a volunteer using the MSOT Acuity Echo. The measurement was conducted within a healthy volunteer study that was approved by the ethics committee of the medical faculty of Heidelberg University under reference number S-451/2020, and the study is registered with the German Clinical Trials Register under reference number DRKS00023205.</p> <p>This dataset can be used to compare simulations based on the given segmentation with the real image.</p>
In silico 2D photoacoustic imaging data
<p>Here you find the data that was used for the experiments in the paper <strong>Confidence estimation for machine learning-based quantitative photoacoustics</strong> by <em>Janek Gröhl</em>, <em>Thomas Kirchner</em>, <em>Tim Adler</em>, and <em>Lena Maier-Hei</em>n.</p>
PhotIQA: A photoacoustic image data set with image quality ratings
<div>To support the development and testing of full- and no-reference IQA measures we assembled PhotIQA, a data set consisting of 1134 photoacoustic (PA) images reconstructed with 3 different algorithms and ratings by 2 experts across five quality properties (overall quality, edge visibility, homogeneity, inclusion and background intensity). To allow full-reference assessment, highly characterised imaging test objects were used, providing a ground truth. A detailed description of the data set can be found in [1], where also baseline experiments give first insights. </div> <div> </div> <div>We have decided to make the data set available to the research community under the Creative Commons Attribution 4.0 International license. If you use the data in your research, we kindly ask that you reference the repository and the corresponding paper</div> <div> </div> <div> <div>[1] A. Breger, J.Gröhl, C. Karner, T.R. Else, I. Selby, J. Weir-McCall, C.-B. Schönlieb: PhotIQA: A photoacoustic image data set with image quality ratings, preprint on arXiv: http://arxiv.org/abs/2507.03478, July 2025</div> <div> </div> <div>Update v2.0 (July 7): quality ratings of more properties are available now, including edge visibility, object homogeneity, intensity (background), intensity (inclusions), overall quality</div> <div> </div> <div>Update v2.1 (August 20): the z-scores of the raters have been added and updated for mos</div> </div>
Evaluation of ultrasound sensors for transcranial photoacoustic sensing and imaging - Data
<p>Raw data and simulation code for the paper "Evaluation of ultrasound sensors for transcranial photoacoustic sensing and imaging"</p>
CycleGAN network for photoacoustic histology
<p>An unsupervised deep learning algorithm based on cycle-consistent generative adversarial networks (CycleGAN ) converted the UV-PAM images into H&E-like pseudocolor histologic images, allowing the pathologists to readily identify the cancerous features following existing pattern-recognition parameters. Unlike supervised deep learning methods such as generational adversarial networks (GAN), the unsupervised deep learning method based on CycleGAN does not require coupled pairs of stained and unstained images. It avoids the need for well-aligned UV-PAM and H&E-stained images for neural network training, which can be challenging to acquire due to artifacts caused by sample preparation-induced morphology changes.</p>
High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy
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Data from: Photoacoustic imaging of rat kidney tissue oxygenation using NIR-II wavelengths
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ultrasound and photoacoustic data for salmon fish skin
<p>ultrasound and photoacoustic data for salmon fish skin</p>
In Vivo Rodent Cervicothoracic Vasculature Imaging Using Photoacoustic Computed Tomography
<p>These video clips are the supplementary video for the manuscript "<em>In Vivo</em> Rodent Cervicothoracic Vasculature Imaging Using Photoacoustic Computed Tomography" submitted to <em>Photonics</em>.</p>
Effectiveness of Laser-activated Photoacoustic Flow in One-visit Revision of Teeth With Apical Periodontitis
ClinicalTrials.gov study NCT07387809. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Ultrasound and Photoacoustic Imaging for Enhanced Differential Diagnosis of Rectal Cancer
ClinicalTrials.gov study NCT04339374. IPD Sharing: YES. Countries: 1. Publications: 1.
A Clinical Feasibility Study of a Photoacoustic Finder
ClinicalTrials.gov study NCT06412211. IPD Sharing: YES. Countries: 1. Publications: 13.
Development of Photoacoustic Tomography
ClinicalTrials.gov study NCT03501823. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Photoacoustic tomography versus cone-beam computed tomography versus micro-computed tomography: Accuracy of 3D reconstructions of human teeth
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Photoacoustic Endoscopy in Endometrial Cancer
ClinicalTrials.gov study NCT01498237. IPD Sharing: Not stated. Countries: 0. Publications: 31.
Photoacoustic Imaging of the Ovary
ClinicalTrials.gov study NCT02110277. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Photoacoustic Imaging of Head and Neck Tumours
ClinicalTrials.gov study NCT05073809. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
Ultrasound and Photoacoustic Imaging for Cervical Cancer
ClinicalTrials.gov study NCT03318107. IPD Sharing: NO. Countries: 1. Publications: 0.
Transrectal Photoacoustic Imaging of the Prostate
ClinicalTrials.gov study NCT02365883. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Photoacoustic Computed Tomography for Pre-Operative Reconstructive Flap Angiography
ClinicalTrials.gov study NCT04783272. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.