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26 results for “electron dose”
Cryo-4D-STEM datasets on cells and cellular organelles for demonstrating a dose-Efficient cryo-EM technique: tilt-Corrected Scanning Transmission Electron Microscopy
<p>This upload contains three 4D-STEM datasets in .raw format for demonstrating a dose-efficient cryo-EM technique for thick samples: tilt-corrected Scanning Transmission Electron Microscopy (tcBF-STEM). The dataset dimension is 128130256*256. Data were acquired on vitrified intact E.coli cells and isolated human cell organelles. This upload also contains the EFTEM images in .mrc acqired in the same ROI as the 4D-STEM dataset. </p> <p>It also contains analysis of the manuscript's Fig 3 and Ext. data fig 8. </p>
Dataset for Using Your Beam Efficiently: Reducing Electron-dose in the STEM via Flyback Compensation
<p>Experimental scanning transmission electron microscopy dataset for the paper "Using Your Beam Efficiently: Reducing Electron-dose in the STEM via Flyback Compensation"</p>
Dataset for "VHEE beam dosimetry at CERN Linear Electron Accelerator for Research under ultra-high dose rate conditions"
<p>Dataset for "VHEE beam dosimetry at CERN Linear Electron Accelerator for Research under ultra-high dose rate conditions"</p> <p>Daniela Poppinga <em>et al</em> 2021 <em>Biomed. Phys. Eng. Express</em> 7 015012</p> <p>https://doi.org/10.1088/2057-1976/abcae5</p> <p> </p>
Machine learning refinement of in situ images acquired by low electron dose LC-TEM
<p>This is a dataset of images acquired in vacuum condition and corresponding images in a solution listed in the text file list_dataset.txt. </p><p> </p><p>The code is available at <a href="https://github.com/hiroyasukatsuno/Machine-learning-refinement-of-images-acquired-by-LC-TEM">this website</a>:</p><p>https://github.com/hiroyasukatsuno/Machine-learning-refinement-of-images-acquired-by-LC-TEM/</p><p><br>Equipment of TEM:</p><ul><li>field-emission gun (JEM-2100F, JEOL, Tokyo)</li><li>OneView IS (Gatan, Inc., Pleasanton, CA, USA)</li></ul><p> </p>
Electron Beam-Induced Artifacts in SEI Characterization: Evidence from Controlled-Dose Diffraction Studies (datasets)
<p>The paper has been published, and the data were updated following the revision. The dataset is now publicly available. All data are in DM4 format, and we recommend using Py4DSTEM or other tools after processing them to h5 format.</p>
Fast Improvement of TEM Images with Low-Dose Electrons by Deep Learning
<p>This is a dataset of High-Dose-Electron (HDE) images and Low-Dose-Electron (LDE) images taken with a transmission electron microscopy used in <a href="https://doi.org/10.1017/S1431927621013799">H. Katsuno, Y. Kimura, T. Yamazaki and I Takigawa, Microsc. Microanal. <strong>28</strong> (2022), pp 138--144</a> (<a href="https://arxiv.org/abs/2106.01718">arXiv:2106.01718</a>).</p> <p>There are two LDE images for each HDE image.</p> <p>cf) HDE image is 0001.tif and corresponding LDE images are 0002.tif and 0003.tif.</p> <p> </p> <p>Equipment of TEM:</p> <p>field-emission gun (JEM-2100F, JEOL, Tokyo)</p> <p>OneView IS (Gatan, Inc., Pleasanton, CA, USA)</p> <p> </p> <p>Typical magnification was 25,000x and 30,000x.</p> <p> </p> <p>HDE image</p> <p>The resolution was 4096 x 4096 pixels and its exposure time was 5 s.</p> <p>The typical total doses was 10<sup>10</sup> e<sup>-.</sup></p> <p> </p> <p>LDE image</p> <p>The resolution was 512 x 512 pixels and its exposure time was 3.3 ms.</p> <p>The typical total doses was 10<sup>6</sup> e<sup>-</sup>.</p> <p> </p> <table> <tbody> <tr> <td>Filename</td> <td>Material</td> <td>Total number of images</td> <td>Total number of a pair of HDE and LDE</td> </tr> <tr> <td>train1_Ni.zip</td> <td>Ni</td> <td>336</td> <td>224</td> </tr> <tr> <td>train2_FeNi.zip</td> <td>FeNi</td> <td>390</td> <td>260</td> </tr> <tr> <td>train3_SiC.zip</td> <td>SiC</td> <td>210</td> <td>140</td> </tr> <tr> <td>train4_Silicate</td> <td>Silicate</td> <td>264</td> <td>176</td> </tr> <tr> <td>train5_Alumina</td> <td>Alumina</td> <td>300</td> <td>200</td> </tr> <tr> <td>val1_Ni.zip</td> <td>Ni</td> <td>54</td> <td>36</td> </tr> <tr> <td>val2_FeNi.zip</td> <td>FeNi</td> <td>60</td> <td>40</td> </tr> <tr> <td>val3_SiC.zip</td> <td>SiC</td> <td>30</td> <td>20</td> </tr> <tr> <td>val4_Silicate</td> <td>Silicate</td> <td>36</td> <td>24</td> </tr> <tr> <td>val5_Alumina</td> <td>Alumina</td> <td>60</td> <td>40</td> </tr> </tbody> </table> <p> </p> <p> </p> <p>The ipynb file and model parameters for machine learning are located in <a href="https://github.com/hiroyasukatsuno/Fast-Improvement-Low-Dose-TEMimages">the GitHub page</a>.</p> <p> </p>
Datasets: Characterization of the PTB ultra-high pulse dose rate reference electron beam
<p>Open access datasets for:</p> <p>Characterization of the PTB ultra-high pulse dose rate reference electron beam</p> <p>doi: 10.1088/1361-6560/ac5de8</p>
Datasets: Absorbed-dose-to-water measurement using alanine in ultra-high-pulse-dose-rate electron beams
<p>Open access datasets for:</p> <p>Absorbed-dose-to-water measurement using alanine in ultra-high-pulse-dose-rate electron beams</p> <p>doi: 10.1088/1361-6560/ac950b</p>
Dataset: "The challenge of ionisation chamber dosimetry in ultra-short pulsed high dose-rate Very High Energy Electron beams"
<p>Dataset for the paper entitled "The challenge of ionisation chamber dosimetry in ultra-short pulsed high dose-rate Very High Energy Electron beams"</p>
Low-Dose Total Skin Electron Therapy in Treating Patients With Refractory or Relapsed Stage IB-IIIA Mycosis Fungoides
ClinicalTrials.gov study NCT02702310. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Salvage of Infected Cardiovascular Implantable Electronic Devices (CIED) by Localized High-dose Antibiotics
ClinicalTrials.gov study NCT01770067. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Data from: Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
Objective To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. Methods To calculate an opioid prescription's maximum potential Sig-MEDD, we developed SQL code to determine a prescription's maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3,000 Sigs, then compared the Sig-MEDD calculation against the Epic MEDD calculator. Results Of the 101,782 outpatient opioid prescriptions ordered over one year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Conclusion Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient's risk for opioid exposure.
Measurement of the Radiation Dose Cuticles Using Electron Paramagnetic Resonance (EPR)
ClinicalTrials.gov study NCT00904189. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
Open the record for dataset details and reuse information.
Datasets: The probe-format graphite calorimeter, Aerrow, for absolute dosimetry in ultrahigh pulse dose rate electron beams
<p>Open access datasets for:</p> <p>The probe-format graphite calorimeter, Aerrow, for absolute dosimetry in ultrahigh pulse dose rate electron beams</p> <p>doi: 10.1002/mp.15899</p>
Mogamulizumab + Low-Dose Total Skin Electron Beam Tx in Mycosis Fungoides & Sézary Syndrome
ClinicalTrials.gov study NCT04256018. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness of Concurrent Ultra-Low-Dose Total-Skin Electron Beam Therapy and Brentuximab Vedotin Given Quarterly Over 12 Months for Patients With Mycosis Fungoides
ClinicalTrials.gov study NCT05357794. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pharmacokinetics and Acute Effects of Multiple Dose of Nicotine: Electronic Cigarette and Cigarette
ClinicalTrials.gov study NCT02511704. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Low Dose Total Skin Electron Beam Radiation Therapy and Mechlorethamine Hydrochloride Gel in Treating Patients With Mycosis Fungoides
ClinicalTrials.gov study NCT03288818. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Safety and Ability of a Once-a-day Dose of an Orally Inhaled Medicine [ie, Glycopyrrolate Inhalation Solution = GIS] to Improve Airflow in the Lungs When Delivered With an Electronic
ClinicalTrials.gov study NCT02951312. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.