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167 results for “x-ray imaging”
Raw data for "Multimodal imaging of cubic Cu2O@Au nanocage formation via galvanic replacement using X-ray ptychography and nano diffraction"
<p><strong>Raw data for "Multimodal imaging of cubic Cu2O@Au nanocage formation via galvanic replacement using X-ray ptychography and nano diffraction"</strong></p> <p>The file "raw_data_ptychography_waxs.zip" contains one HDF5 archive for each scan. The archives are structured as follows:</p> <ul> <li>section experiment: <ul> <li>identifiers of the lightsource, beamline, beamtime, session number, and scan number</li> </ul> </li> <li>section measured: <ul> <li>N diffraction patterns of size 512x512 px used for ptychography</li> <li>N WAXS patterns of size 514x1030 px</li> <li>N scan positions in mm</li> <li>one detector mask of size 512x512 px used for ptychography</li> <li>one detector mask of size 514x1030 px used for WAXS</li> <li>slice separation in mm for multi slice reconstruction</li> </ul> </li> <li>section parameters: <ul> <li>distance between sample and forward detector (ptychography) in mm</li> <li>pixel size of forward detector (ptychography) in mm</li> <li>photon energy in keV</li> <li>cropping of diffraction patterns in px used for ptychographic reconstruction</li> </ul> </li> </ul> <p>The following lists show the scan numbers with their corresponding reaction times and slice separations for the in situ series recorded during growth of Cu<sub>2</sub>O nanocubes, as well as galvanic replacement with Au measured out of focus and in focus.</p> <p>Growth of Cu<sub>2</sub>O nanocubes:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>179</td> <td>1</td> <td>1.58</td> </tr> <tr> <td>185</td> <td>1</td> <td>3.59</td> </tr> <tr> <td>191</td> <td>1</td> <td>4.78</td> </tr> <tr> <td>192</td> <td>1</td> <td>5.21</td> </tr> <tr> <td>193</td> <td>1</td> <td>5.64</td> </tr> <tr> <td>194</td> <td>1</td> <td>6.08</td> </tr> <tr> <td>195</td> <td>1</td> <td>6.51</td> </tr> <tr> <td>196</td> <td>1</td> <td>6.94</td> </tr> <tr> <td>197</td> <td>1</td> <td>7.37</td> </tr> <tr> <td>198</td> <td>1</td> <td>7.81</td> </tr> <tr> <td>199</td> <td>1</td> <td>8.24</td> </tr> <tr> <td>200</td> <td>1</td> <td>8.67</td> </tr> <tr> <td>201</td> <td>1</td> <td>9.10</td> </tr> <tr> <td>202</td> <td>1</td> <td>9.53</td> </tr> <tr> <td>203</td> <td>1</td> <td>9.97</td> </tr> <tr> <td>204</td> <td>1</td> <td>10.41</td> </tr> <tr> <td>205</td> <td>1</td> <td>10.86</td> </tr> <tr> <td>207</td> <td>0.96</td> <td>11.53</td> </tr> <tr> <td>208</td> <td>0.94</td> <td>11.96</td> </tr> <tr> <td>209</td> <td>0.92</td> <td>12.41</td> </tr> <tr> <td>210</td> <td>0.9</td> <td>12.85</td> </tr> <tr> <td>211</td> <td>0.88</td> <td>13.29</td> </tr> <tr> <td>212</td> <td>0.86</td> <td>13.74</td> </tr> <tr> <td>213</td> <td>0.84</td> <td>14.19</td> </tr> <tr> <td>215</td> <td>0.8</td> <td>15.07</td> </tr> <tr> <td>216</td> <td>0.78</td> <td>15.50</td> </tr> <tr> <td>218</td> <td>0.74</td> <td>16.06</td> </tr> <tr> <td>219</td> <td>0.72</td> <td>16.50</td> </tr> <tr> <td>220</td> <td>0.7</td> <td>16.82</td> </tr> <tr> <td>221</td> <td>0.68</td> <td>17.08</td> </tr> <tr> <td>223</td> <td>0.64</td> <td>17.79</td> </tr> <tr> <td>225</td> <td>0.6</td> <td>18.53</td> </tr> </tbody> </table> <p>Galvanic replacement with Au measured out of focus:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>263</td> <td>1</td> <td>-0.53</td> </tr> <tr> <td>265</td> <td>1</td> <td>0.13</td> </tr> <tr> <td>266</td> <td>1</td> <td>0.38</td> </tr> <tr> <td>267</td> <td>1</td> <td>0.63</td> </tr> <tr> <td>268</td> <td>1</td> <td>0.89</td> </tr> <tr> <td>269</td> <td>1</td> <td>1.14</td> </tr> <tr> <td>270</td> <td>1</td> <td>1.40</td> </tr> <tr> <td>271</td> <td>1</td> <td>1.64</td> </tr> <tr> <td>272</td> <td>1</td> <td>1.90</td> </tr> <tr> <td>273</td> <td>1</td> <td>2.14</td> </tr> <tr> <td>274</td> <td>1</td> <td>2.39</td> </tr> <tr> <td>275</td> <td>1</td> <td>2.63</td> </tr> <tr> <td>276</td> <td>1</td> <td>2.87</td> </tr> <tr> <td>277</td> <td>1</td> <td>3.11</td> </tr> <tr> <td>278</td> <td>1</td> <td>3.35</td> </tr> <tr> <td>279</td> <td>1</td> <td>3.60</td> </tr> <tr> <td>280</td> <td>1</td> <td>3.84</td> </tr> <tr> <td>281</td> <td>1</td> <td>4.08</td> </tr> <tr> <td>282</td> <td>1</td> <td>4.32</td> </tr> <tr> <td>283</td> <td>1</td> <td>4.74</td> </tr> <tr> <td>284</td> <td>1</td> <td>5.15</td> </tr> <tr> <td>286</td> <td>1</td> <td>5.59</td> </tr> <tr> <td>287</td> <td>1</td> <td>6.01</td> </tr> <tr> <td>288</td> <td>1</td> <td>6.35</td> </tr> <tr> <td>289</td> <td>1</td> <td>6.74</td> </tr> <tr> <td>290</td> <td>1</td> <td>7.15</td> </tr> <tr> <td>291</td> <td>1</td> <td>7.55</td> </tr> <tr> <td>292</td> <td>1</td> <td>7.94</td> </tr> <tr> <td>293</td> <td>1</td> <td>8.35</td> </tr> <tr> <td>294</td> <td>1</td> <td>8.75</td> </tr> <tr> <td>295</td> <td>1</td> <td>9.16</td> </tr> <tr> <td>296</td> <td>1</td> <td>9.56</td> </tr> <tr> <td>297</td> <td>1</td> <td>9.96</td> </tr> </tbody> </table> <p>Galvanic replacement with Au measured in focus:</p> <table> <tbody> <tr> <td><strong>scan number</strong></td> <td><strong>slice distance, mm</strong></td> <td><strong>reaction time, h</strong></td> </tr> <tr> <td>117</td> <td>1</td> <td>0.33</td> </tr> <tr> <td>118</td> <td>1</td> <td>0.93</td> </tr> <tr> <td>119</td> <td>1</td> <td>1.51</td> </tr> <tr> <td>120</td> <td>1</td> <td>2.08</td> </tr> <tr> <td>121</td> <td>1</td> <td>2.66</td> </tr> <tr> <td>122</td> <td>1</td> <td>3.24</td> </tr> <tr> <td>123</td> <td>1</td> <td>3.87</td> </tr> <tr> <td>124</td> <td>1</td> <td>4.44</td> </tr> <tr> <td>125</td> <td>1</td> <td>5.02</td> </tr> <tr> <td>126</td> <td>1</td> <td>5.61</td> </tr> <tr> <td>127</td> <td>1</td> <td>6.19</td> </tr> <tr> <td>128</td> <td>1</td> <td>6.77</td> </tr> <tr> <td>129</td> <td>1</td> <td>7.35</td> </tr> <tr> <td>130</td> <td>1</td> <td>7.93</td> </tr> <tr> <td>131</td> <td>1</td> <td>8.50</td> </tr> </tbody> </table> <p>The files "waxs_detector_calibration_cu2o_growth.poni" and "waxs_detector_calibration_au_galvanic_replacement.poni" contain the PONI data to be used for azimuthal integration of WAXS patterns using the pyFAI library.</p> <p><strong>Ptychographic reconstructions</strong></p> <p>The file "ptychographic_reconstructions.zip" contains the ptychographic reconstructions shown in the article and supplementary information in tiff format.</p> <p>Stacks of images corresponding to time series:</p> <ul> <li>Figure 1b, 2: P06_Cu2O_growth_scans_00179-00225_entrance_window.tif</li> <li>Figure 1b, 2: P06_Cu2O_growth_scans_00179-00225_exit_window.tif</li> <li>Figure 1d, 4, 5: P06_Au_galvanic_replacement_de-focus_scans_00263-00297_exit_window.tif</li> <li>Figure 5c: P06_Au_galvanic_replacement_in-focus_scans_00117-00131_exit_window.tif</li> </ul> <p><strong>SEM and EDX</strong></p> <p>The file "SEM_EDX.zip" contains the SEM images and EDX maps shown in Figure 3 in png format. Subfolders indicate the reaction time.</p>
Reader Study to Demonstrate That Use of ClearRead Confirm is Superior to the Use Standard AP/PA X-ray Image
ClinicalTrials.gov study NCT01655329. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: The ‘dance’ of life: visualizing metamorphosis during pupation in the blow fly Calliphora vicina by X-ray video imaging and micro-computed tomography
Open the record for dataset details and reuse information.
Supplementary material for manuscript: Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives
<p>This data contains the supplemental information that will be accessible to the public from the paper “Microcomputed X-ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives”. The data set contains the reconstructed slices for the 3D images of three different high explosives including: HMX-HTPB, PBX 9501 and PBX 9502. The data sets are folders of reconstructed tiffs showing the microstructure (crystals, binder, voids) and a segmented data set of each. Finally, a .gif movie is also present that plays the slices sequentially. The folders contain the voxel size information. See the manuscript for more details.</p>
Data for "Photon-recoil Imaging: Expanding the view of nonlinear x-ray physics"
<p>Datasets for the figures presented in the main manuscript of the publication "Photon-recoil Imaging: Expanding the view of nonlinear x-ray physics" .</p> <p>The dataset Fig2A-red-dots.dat represents also the red dots data in Figure 3A. </p> <p>Fig2B-data.dat and Fig2C-data.dat contain histogram data with each entry (line) representing the coordinates (x,y) in mm on the detector where a corresponding Ne* atom was detected.<br> With these data Fig 2B and 2C of the publication can be reproduced by using the Wolfram Mathematica command lines:</p> <p>Test855 = Import["Fig2C-data.dat"]<br> DensityHistogram[Test855, {100, 100},<br> PlotRange -> {{-10, 5}, {0, 25}},<br> ColorFunction -> ColorData[{"SolarColors", "Reverse"}],<br> AspectRatio -> 5/3,(* Background\[Rule]LightGreen,*)<br> FrameTicksStyle -> Directive[Black, 20], ChartLegends -> Automatic]</p> <p>All other data sets contain the data points of the corresponding figure of the publication, with the first entry in each line representing the x- and the second one the y-coordinate value and, where applicable the error bar.</p>
X-ray images for crystal of a protein DegT/DnrJ/EryC1/StrS family aminotransferase from Archaeoglobus veneficus
<p>X-ray images for sugar transaminase from Archaeoglobus venficus</p> <p>PDB code 7B0D</p>
Data and code availability for "Ice Nucleation Imaged with X-ray Spectro-Microscopy"
<p>Data and code availability for the article titled, "Ice Nucleation Imaged with X-ray Spectro-Microscopy" by Alpert et al. published in the journal Environmental Science: Atmospheres.</p>
X-ray diffraction images for coenzyme F420H2 oxidase (FprA) from M. thermolithotrophicus.
<p>Anomalous data collected at ESRF (Grenoble, France) using beamline ID23-1. The crystal (Crystal form 2) was in the presence of the crystallophore Tb-Xo4.</p> <p> </p> <p>Related Publication: Engilberge et al. (2019)</p> <p> </p>
Data and Codes for: Segmentation uncertainty of vegetated porous media propagates during X-ray CT image-based analysis
<p>Phase segmentation is a crucial step in X-ray computed tomography (CT) for image-based analysis (CT-IBA) to derive soil and root information. How segmentation uncertainty (SU) affects CT-IBA of vegetated soil has never been explored. The enclosed data and codes are used to assist the analysis of SU quantification and propagation in the journal paper published in Plant & Soil. The title of the paper is Segmentation uncertainty of vegetated porous media propagates during X-ray CT image-based analysis. </p>
X-Ray diffraction images from a crystal of the NTD domain of D. radiodurans DdrC - Crystal form xMJ7102
<p>Dimer of the N-terminal domain (NTD) of DNA-Damage Response Protein C (DdrC) from Deinococcus radiodurans. Crystal Form xMJ7102</p>
AI Model for Bone Mineral Density Prediction From X-Ray Images
ClinicalTrials.gov study NCT06652061. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Markerless Image Guidance Using Intrafraction Kolovoltage X-ray Imaging for Lung Cancer Radiotherapy
ClinicalTrials.gov study NCT04310891. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Exposure Reduction Using Region-of-Interest Fluoroscopy (X-ray Fovea Imaging) in Cardiac Interventions
ClinicalTrials.gov study NCT00817115. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation of Cervical Lordosis Degree Detected on Cervical X-Ray Image With Clinical, Demographic and MRI Findings
ClinicalTrials.gov study NCT04886661. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Model-Based Image Reconstruction for X-Ray CT in Lung Imaging
ClinicalTrials.gov study NCT01979991. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PMS Study Ultravist-IMAGE, IoproMide (UltrAvist) to Gain Further Information on Tolerability and Safety in X-ray Examination
ClinicalTrials.gov study NCT00876083. IPD Sharing: Not stated. Countries: 21. Publications: 0.
Validation of a New Post Image Processing Engine (S-Vue™) for the Reduction of Ionizing Radiation Dose on X-ray Examination in Pediatric Patients
ClinicalTrials.gov study NCT03935737. IPD Sharing: NO. Countries: 1. Publications: 0.
Advancement and New Optimizations of Microcalorimeter Arrays for High-Resolution Imaging X-ray Spectroscopy Project
"We propose to continue our successful research program in developing x-ray microcalorimeter arrays for astrophysics. This development will directly benefit not only the International X-ray Observatory (IXO), but also other possible mission concepts. We will investigate various array and pixel optimizations such as would be needed for large arrays for surveys, or arrays of fast pixels optimized for neutron star burst spectroscopy. The main emphasis of our research will be the further development of arrays of superconducting transition-edge sensors (TES) for imaging x-ray spectroscopy. We have developed a TES pixel that achieves better than 2.5-eV resolution at 6 keV, and arrays of such pixels that are sufficiently uniform in characteristics as to permit common biasing without significant compromises in the operation of any pixel. We are also making arrays of position sensitive TES pixels that show promise for use on IXO. We propose to advance both the single-pixel and position-sensitive arrays so that we can produce arrays suitable for subsystem-level read-out demonstrations of the IXO X-ray Microcalorimeter Spectrometer focal plane. Additionally, we propose to re-evaluate out successful pixel design which, while certainly suitable for use in developing the architecture of arrays and addressing detector systems issues, is not necessarily the final optimization. The performance of a TES depends on the functional form of the current, temperature, and magnetic-field dependence of the resistive transition, and also on the noise at each point on this transition surface. The parameters that describe this transition surface occupy a large phase space, and we have only probed a small portion of it. We propose to fabricate a series of test devices to explore other parts of the phase space and to learn how to engineer the superconducting transition. Recently, our understanding of the physical effects governing the observed resistive transitions has improved, th
High Spectral Resolution, High Cadence, Imaging X-ray Microcalorimeters for Solar Physics - Phase 2 Project
<p> Microcalorimeter x-ray instruments are non-dispersive, high spectral resolution, broad-band, high cadence imaging spectrometers. We have been developing these instruments for x-ray astrophysics for over 25 years and have successfully flown them on both suborbital and orbital observatories. Microcalorimeter spectrometers are true spatial-spectral event-driven instruments. The core instrument for the Astro-H observatory to be launched in 2014 and for the International X-ray Observatory planned for around 2022 [1] are both microcalorimeter spectrometers. For the past two years, supported by the Solar and Heliospheric ROSES program, we have been adapting this highly successful technology to the very different requirements of solar physics. This leverages the large NASA investment in this technology to produce instruments optimized for solar physics with only a moderate development program.</p> <p> During the past two years, we have developed a high spatial resolution, high cadence microcalorimeter optimized for solar observations with a ground-breaking spectral resolving power of nearly 3000 at 6 keV. This exceeds the performance goals of our program. In fact, the single-pixel performance achieved during this program is already sufficient for a solar optimized instrument as described in section 2, albeit using small arrays of detectors. We propose here to continue this successful program by developing large focal-plane arrays, optimized for solar physics and their read-out systems. This complements our existing development programs in astrophysics, where we have already produced and tested kilo-pixel arrays for IXO. The end-result of the proposed work will be a solar-optimized detector system proven and ready for integration into a suborbital payload and then onto a space-borne observatory. Both the suborbital program and an orbital instrument would allow high cadence spatial-spectral observations across the x-ray band from 0.1 to above 10 keV, enabling new science as described in section 1.4. Ultimately this will produce instrumentation suitable for deployment on an Explorer-class mission and, possibly, a remote sensing contribution to the Solar Energetic Particle Acceleration and Transport (SEPAT) Solar-Terrestrial Probe [2]. &nbsp;</p>
The Focusing Optics X-ray Solar Imager (FOXSI): Update & Second Launch Project
<p> Particle acceleration in solar flares and its contribution to coronal heating are among the main&nbsp; unsolved problems in heliophysics. Accelerated electrons in a plasma radiate hard X-ray (HXR)&nbsp; emission through the well-known process of bremsstrahlung. HXR observations therefore are a&nbsp; powerful diagnostic tool, providing quantitative measurements of flare-accelerated electrons. Since&nbsp; bremsstrahlung emission depends on the density of the ambient medium, solar HXR emission is&nbsp; usually brightest from below the transition region, where the density increases rapidly towards the&nbsp; photosphere. Electron beams entering the chromosphere lose energy quickly through collisions and&nbsp; produce relatively intense HXR emission at the footpoints of magnetic field lines. Electron beams&nbsp; moving in the relatively tenuous corona suffer very few collisions, losing little energy and producing&nbsp; only faint HXR emission. Present-day HXR instrumentation does not have the sensitivity to see&nbsp; faint HXR emission from electrons traveling in the corona, nor the dynamic range to see such&nbsp; faint emission in the presence of bright HXR footpoint emission in the chromosphere. Existing&nbsp; observations therefore show us only where energetic electrons are stopped, but not where they&nbsp; are accelerated, nor along what path they escape from the acceleration site. The most sensitive&nbsp; solar HXR observations so far are provided by the Reuven Ramaty High Energy Spectroscopic&nbsp; Imager (RHESSI) (Lin et al. 2002). These measurements are obtained with a non-focusing rotation&nbsp; modulation collimator (RMC) imaging technique (Hurford et al. 2002). RMCs and other types&nbsp; of non-focusing imaging, however, have intrinsically limited dynamic range and sensitivity. HXR&nbsp; focusing optics can overcome both of these limitations (Section 1.2.2).&nbsp;</p> <p> The Focusing Optics X-ray Solar Imager (FOXSI) is a sounding rocket payload funded under the&nbsp; NASA Low Cost Access to Space (LCAS) program to test HXR focusing optics combined with&nbsp; silicon strip detectors for solar observations (Krucker et al. 2009). The FOXSI program is being led&nbsp; by the Space Sciences Laboratory at UC Berkeley in collaboration with the Marshall Space Flight&nbsp; Center (MSFC) and the Japan Aerospace Exploration Agency (JAXA). FOXSI is on schedule&nbsp; and on budget for a launch in October 2010. FOXSI will offer imaging spectroscopy and&nbsp; unprecedented HXR sensitivity and dynamic range. FOXSI will be !100 times more sensitive than&nbsp; RHESSI at 10 keV, and, for the first time, detect the non-thermal counterparts of quiet sun network&nbsp; flares (Section 1.2.4).&nbsp;</p> <p> Here we propose a continuation of the FOXSI program which includes data analysis&nbsp; and a second flight with an upgraded version of FOXSI. At moderate cost, we propose to&nbsp; enhance the effective area, in particular at higher energies (by a factor of !4 at 15 keV), by adding&nbsp; 3 more shells to the existing 7-shell optics (see Figure 9). Furthermore, our Japanese collaborators&nbsp; will provide, at no cost, newly available double-sided cadmium telluride (CdTe) detectors as&nbsp; a replacement for the Si detectors to allow us to take full advantage of the effective area at higher&nbsp; energies. A second flight will therefore not only allow us to continue testing HXR focusing&nbsp; optics for solar observations and also test newly developed CdTe strip detectors&nbsp; in flight but is also expected to provide a significant increase in scientific return. In&nbsp; this two year proposal, the first year (2011) will be used to upgrade the FOXSI payload and to&nbsp; analyze data from the first flight, while the second flight is planned for the midd
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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.