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Dataset results
11 results for “Raman imaging”
Research data supporting "Raman spectroscopy imaging reveals interplay between atherosclerosis and medial calcification in human aorta"
<p>Research data supporting the publication:</p> <p>You, A. Y. F. <em>et al.</em>, 2017, "Raman spectroscopy imaging reveals interplay between atherosclerosis and medial calcification in human aorta", Science Advances, DOI: 10.1126/sciadv.1701156.</p>
Research data supporting "Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage"
<p>Research data supporting the publication: Albro M. et al., 2018, npj Regenerative Medicine, DOI: https://doi.org/10.1038/s41536-018-0042-7.</p>
Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene_experimental dataset
<p>This dataset contains the raw unprocessed data for Piastek et al., Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene, <em>J. Phys. Chem. C</em> 2022, 126, 9, 4508–4514. </p>
Supplementary data to "High-Resolution Raman Imaging of >300 Patient-Derived Cells from Nine Different Leukemia Subtypes: A Global Clustering Approach"
<p>Compressed ".feather" files including the entire dataset of 319 Raman maps of the same number of cells from 19 patients affected by nine distinct leukemia subtypes.<br>Raw data have been pre-processed as follows using custom software (LabVIEW, National Instruments Corp., TX): a) cosmic rays removal by singular value decomposition (SVD); b) camera offset subtraction; c) CCD response correction (intensity and etaloning) using a tungsten halogen light with known emission (Avalight-HAL, Avantes BV, NL)); d) wavenumber calibration using the zero-wavenumber laser line, toluene and argon-mercury emission (CAL-2000, Ocean Optics, Germany); e) denoising by SVD.<br>More details in the open access published article and supplementary material (10.1021/acs.analchem.4c00787).</p>
Raman imaging data
<p>The data set used for the articles consists of a series of Raman imaging measurements conducted on the surfaces (XY axis) and depth profiles (XZ axis) of three types of nuclear graphite (IG-110, NBG-17, and in-house NCBJ graphite). The measurements were performed using a confocal WITec alpha 300R microspectrometer (Oxford Instruments), controlled by WITec Control 5.2 software and equipped with a 532 nm laser. The maps had the following dimensions: for the surface, 25 × 25 μm in the X and Y directions (50 points per 50 lines, with a point taken every 0.5 μm), and for the in-depth analysis, 25 × 25 μm in the X and Z directions (50 points per 50 lines, with a point taken every 0.5 μm). The measurements were acquired using a Zeiss LD EC Epiplan-Neofluar Dic 50x/0.55 lens, a 600 lines/mm grating, and a 3-second acquisition time. The laser power was set to 10 mW for surface measurements and 20 mW for in-depth analysis. Subsequent analysis of the acquired data was conducted using WITec Project FIVE 5.2 software, which involved cutting the spectral region of interest, baseline correction, cosmic ray removal (CCR), band fitting, basic calculations, and chemometric analysis (K-means clustering, KMC). The data presented in this study are as-measured with no postprocessing applied.</p> <p><strong>Files inventory:</strong></p> <table> <tbody> <tr> <td> <p><strong>No</strong></p> </td> <td> <p><strong>File name</strong></p> </td> <td> <p><strong>Format</strong></p> </td> <td> <p><strong>Details</strong></p> </td> </tr> <tr> <td> <p><strong>1</strong></p> </td> <td> <p>IG-110_1e12_Ar</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of IG-110 nuclear graphite irradiated with Ar<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>2</strong></p> </td> <td> <p>IG-110_1e16_Ar</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>3</strong></p> </td> <td> <p>IG-110_2e17_Ar</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>4</strong></p> </td> <td> <p>NBG-17_1e12_Ar</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of NBG-17 nuclear graphite irradiated with Ar<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>5</strong></p> </td> <td> <p>NBG-17_1e16_Ar</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>6</strong></p> </td> <td> <p>NBG-17_2e17_Ar_depth</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>7</strong></p> </td> <td> <p>NBG-17_1e12_Ar_surface</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>8</strong></p> </td> <td> <p>NCBJ_1e12_Ar</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of NCBJ nuclear graphite irradiated with Ar<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>9</strong></p> </td> <td> <p>NCBJ_1e16_Ar</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>10</strong></p> </td> <td> <p>NCBJ_2e17_Ar</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>11</strong></p> </td> <td> <p>IG-110_1e12_He</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of IG-110 nuclear graphite irradiated with He<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>12</strong></p> </td> <td> <p>IG-110_1e16_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>13</strong></p> </td> <td> <p>IG-110_2e17_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>14</strong></p> </td> <td> <p>NBG-17_1e12_He</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of NBG-17 nuclear graphite irradiated with He<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>15</strong></p> </td> <td> <p>NBG-17_1e16_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>16</strong></p> </td> <td> <p>NBG-17_2e17_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>17</strong></p> </td> <td> <p>NCBJ_1e12_He</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of NCBJ nuclear graphite irradiated with He<sup>+</sup> ions with varying fluence (1E12, 1E16, 2E17 ion/cm<sup>2</sup>) – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>18</strong></p> </td> <td> <p>NCBJ_1e16_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>19</strong></p> </td> <td> <p>NCBJ_2e17_He</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>20</strong></p> </td> <td> <p>IG-110_pristine_depth</p> </td> <td> <p>.wip</p> </td> <td> <p>Raman imaging of IG-110, NBG-17 and NCBJ nuclear graphites before irradiation – data collected from surface and depth profiles</p> </td> </tr> <tr> <td> <p><strong>21</strong></p> </td> <td> <p>IG-110_pristine_surface</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>22</strong></p> </td> <td> <p>NBG-17_pristine</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>23</strong></p> </td> <td> <p>NCBJ_pristine_depth</p> </td> <td> <p>.wip</p> </td> </tr> <tr> <td> <p><strong>24</strong></p> </td> <td> <p>NCBJ_pristine_ surface</p> </td> <td> <p>.wip</p> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Plasmonic Au@Ag@mSiO2 Nanorattles for In Situ Imaging of Bacterial Metabolism by Surface-Enhanced Raman Scattering Spectroscopy
<p>Related publication: De Marchi, S; García-Lojo, D; Bodelón, G; Pérez-Juste, J; Pastoriza-Santos, I. Plasmonic Au@Ag@mSiO<sub>2</sub> Nanorattles for In Situ Imaging of Bacterial Metabolism by Surface-Enhanced Raman Scattering Spectroscopy. <em>ACS Applied Materials & Interfaces</em> 2021. <a href="http://doi.org/10.1021/acsami.1c21812">DOI: 10.1021/acsami.1c21812</a>.</p> <p> </p> <p>Abstract:</p> <p>It is well known that microbial populations and their interactions are largely influenced by their secreted metabolites. Noninvasive and spatiotemporal monitoring and imaging of such extracellular metabolic byproducts can be correlated with biological phenotypes of interest and provide new insights into the structure and development of microbial communities. Herein, we report a surface-enhanced Raman scattering (SERS) hybrid substrate consisting of plasmonic Au@Ag@mSiO<sub>2</sub> nanorattles for optophysiological monitoring of extracellular metabolism in microbial populations. A key element of the SERS substrate is the mesoporous silica shell encapsulating single plasmonic nanoparticles, which furnishes colloidal stability and molecular sieving capabilities to the engineered nanostructures, thereby realizing robust, sensitive, and reliable measurements. The reported SERS-based approach may be used as a powerful tool for deciphering the role of extracellular metabolites and physicochemical factors in microbial community dynamics and interactions.</p>
Data from "Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering"
<p>Data from "Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering" published in PNAS.</p>
Supplementary dataset for 'Super-resolution vibrational imaging based on photoswitchable Raman probe'
<p>Here's a dataset for 'Super-resolution vibrational imaging based on photoswitchable Raman probe.' </p>
Supplementary material - Broadband Stimulated Raman Imaging based on Multi channel Lock-in Detection for Spectral Histopathology
<p>Supplementary material</p>
Stimulated Raman Photothermal Microscopy towards Ultrasensitive Chemical Imaging
<p>Stimulated Raman scattering (SRS) microscopy has shown enormous potential in revealing<br> molecular structures, dynamics and couplings in complex systems. However, the sensitivity of SRS is<br> fundamentally limited to milli-molar level due to the shot noise and the small modulation depth. To<br> overcome this barrier, we revisit SRS from the perspective of energy deposition. The SRS process pumps<br> molecules to their vibrationally excited states. The thereafter relaxation heats up the surrounding and<br> induces refractive index changes. By probing the refractive index changes with a laser beam, we introduce<br> stimulated Raman photothermal (SRP) microscopy, where a >500-fold boost of modulation depth is<br> achieved. Versatile applications of SRP microscopy on viral particles, cells, and tissues are demonstrated.<br> SRP microscopy opens a way to perform vibrational spectroscopic imaging with ultrahigh sensitivity.</p> <p>This dataset is the complete raw data used in the paper to support the findings. </p>
Research data supporting "In Vivo Biomolecular Imaging of Zebrafish Embryos using Confocal Raman Spectroscopy"
<p>Research raw data supporting Hogset et al., "In vivo biomolecular imaging of zebrafish embryos using confocal Raman spectroscopy", 2020, Nature Communications.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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DANDI Archive for NWB datasets
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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.