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165 results for “multimodal imaging”
Multimodal Features Integration: Genomics and Histopathological images for colon cancer stage prediction and survival stratification
<p>File Description</p> <p>clinical_patient_coad.xls - Clinical data for colon cancer patients<br>COAD__geneExp.xls - RNA data for colon cancer patients<br>COAD__methylation_450__TSS200-TSS1500.xls - DNA methylation data for colon cancer patients<br>COAD__miRNAExp__ReadCount.xls - miRNA data for colon cancer patients<br>COAD_DX_STG1.tar.gz - Image tiles for stage 1 colon cancer patients<br>COAD_DX_STG2.tar.gz - Image tiles for stage 2 colon cancer patients<br>COAD_DX_STG3.tar.gz - Image tiles for stage 3 colon cancer patients<br>COAD_DX_STG4.tar.gz - Image tiles for stage 4 colon cancer patients</p>
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>
Establishment and Evaluation of Multimodal Image Recognition System of Glioma Based on Deep Learning
ClinicalTrials.gov study NCT04407039. IPD Sharing: UNDECIDED. Countries: 0. Publications: 4.
Evaluation of Response to the Neoadjuvant Chemotherapy for Advanced Ovarian Cancer by Multimodal Functional Imaging
ClinicalTrials.gov study NCT02792959. IPD Sharing: NO. Countries: 1. Publications: 0.
Multimodal Imaging and Biospecimen Collection for Low Back Pain (LBPB)
ClinicalTrials.gov study NCT06967363. IPD Sharing: YES. Countries: 1. Publications: 0.
A Multimodal Imaging Study of Dopamine in Early Psychosis
ClinicalTrials.gov study NCT06977308. IPD Sharing: YES. Countries: 0. Publications: 1.
Multimodal Cardiovascular Magnetic Resonance Imaging for Cardiometabolic Pre-HF and HFpEF
ClinicalTrials.gov study NCT07336316. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Data from: A multimodal image guiding system for Navigated Ultrasound Bronchoscopy (EBUS): a human feasibility study
Open the record for dataset details and reuse information.
Non-Invasive, Label-free Image Approaches to Predict Multimodal Molecular Markers in Pluripotency Assessment
GEO Series GSE256303. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [CosMx Spatial]
GEO Series GSE290466. Homo sapiens. 92 samples. Type: Other.
STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [Xenium]
GEO Series GSE301112. Mus musculus; Homo sapiens. 63 samples. Type: Other.
STAMP: Single-Cell Transcriptomics Analysis and Multimodal Profiling through Imaging [Merscope]
GEO Series GSE301544. Homo sapiens; synthetic construct. 12 samples. Type: Other.
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>
Multimodal imaging data in PD
<p>In this work we explored structural and metabolic alterations within the nigrostriatal system in a population of <em>de novo</em> PD patients. We assessed the degree and spatial pattern of dopaminergic denervation (FDOPA), microstructural integrity (FW), and iron accumulation (R2*) within several regions of the nigrostriatal system, including spatial divisions of the SNc and striatum.</p>
Differentiation of Progression From Treatment Effects in High-Grade Gliomas: A Clinical Trial With Multimodality MR Imaging
ClinicalTrials.gov study NCT03102203. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multimodal PET Imaging in the Diagnosis and Treatment of Pelvic Tumors
ClinicalTrials.gov study NCT06774209. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Linking Cognitive Functioning to Multimodal Imaging in Multiple Sclerosis (MS)
ClinicalTrials.gov study NCT03723356. IPD Sharing: YES. Countries: 1. Publications: 0.
Creation of a Database of Healthy Subjects With 18FDG PET Brain Imaging as Part of the MOBILE Project (Multimodal Whole-Brain Imaging in Epilepsy)
ClinicalTrials.gov study NCT06976788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Multimodality Imaging Assessment of the Severity of Mitral Regurgitation
ClinicalTrials.gov study NCT06266858. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multimodal Ocular Imaging in Neurodegeneration
ClinicalTrials.gov study NCT03699644. IPD Sharing: YES. 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.