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249 results for “speckle”
Two-time correlation function based on speckle patterns from x-ray photon correlation spectroscopy associated with "Intermittent cluster dynamics and temporal fractional diffusion in a bulk metallic glass" (scientific article published in Nature Communications, 2024)
<p>This dataset consists of contrast data, i.e., the two-time correlation function, based on speckle patterns measured at the at the 8ID-E beamline of the Advanced Photon Source at Argonne National Laboratory.</p> <p>Experimental details are stated in the paper specified under "related work" and in the accompanying supplementary information.</p> <p>You are welcome to use this dataset in compliance with the CC BY 4.0 licence assigned to this dataset.</p> <p>Any questions regarding the data can be addressed to birte.riechers@bam.de who would also appreciate a note if you find the data useful.</p> <p>____________________________________________________________________</p> <p>The data consists of 32 text files in total, which correspond to the main and lower panel Figure 2 of the main publication. </p> <p>30 of these text files are contrast data, which are named "contrast_DT250s_nn.text" wiith "nn" as the identifier of consecutive data sets going from 1 to 30. Each data set consists of p rows and q columns, DT250s denotes the time resolution of data points, which is 250 s along both row and column values.</p> <p>The data set called "Time_Contrast_1to30s.txt" states the start time in seconds of the first data point of each of the thirty contrast data set.</p> <p>The data set called "ScatteredIntensity.txt" states the scattered intensity at full time resolution, i.e. 2.5 s.</p> <p>The files are plain text files with the data points separated by "space" along rows and "new line" along columns.</p>
Deconvolved STED nanoscopy images of the nuclear phosphatidylinositol 4,5-bisphosphate and nuclear speckle marker SON together with deconvolved confocal images of DAPI stained nuclei in human formalin-fixed paraffin-embedded skin warts sections
<p>The collection and analysis of formalin-fixed paraffin-embedded (FFPE) human skin sections was approved by the local ethics-committee at the Department of Pathology, University of Cologne, Germany. Written informed consentwas obtained from all patients in accordance with the Declaration of Helsinki. For biopsy materials from archival paraffin blocks of human skin, an informed consent was obtained from all the subjects and ethical approval obtained from the Ethics Committee at the University of Cologne. Surgically removed human FFPE skin biopsies were sectioned into 4 µm sections. Sections were dewaxed, and indirectly immunofluorescently labeled against nuclear phosphatidylinositol 4,5-bisphosphate (nPI(4,5)P2) using 5 µg/mL rabbit primary polyclonal antibody (Echelon Biosciences Inc. Z-A045, clone 2C11). The primary antibody against nPI(4,5)P2 was recognized by the goat secondary antibody conjugated with Abberrior Star 635P (Abberior 2-0002-007-5). Sections were indirectly immunofluorescently labeled against nuclear speckle marker SON using 1 µg/mL rabbit primary polyclonal antibody (Abcam ab121759). The primary antibody against SON was recognized by the goat secondary antibody conjugated with Abberrior Star 580 (Abberrior ST580-1002). Sections were co-stained by DAPI 1:1000 in PBS for 5 min.</p> <p>Imaging of nPI(4,5)P2-635P channel was performed on Leica TCS SP8 STED 3x inverted DMi8 microscope with pulsed white light laser 470-640 nm 1.5 mW and 775 nm pulse STED laser >1.5 W controlled by Leica Application Suite X software and equipped with HC PL APO CS2 100x/1.40 OIL objective used with Leica Type F immersion oil n=1.518. Unidirectional xyz scanning speed was 400 Hz, line accumulation 8. Pixel size was 20 nm in X and Y. Channel settings: 7% 633 nm laser; 775 Notch filter; 50% 775 nm STED laser; 30% 3D STED; HyD 639-698 nm, photon-counting mode, gain 100, gating 0.3-10 ns. Imaging of SON-580 channel was performed on Leica TCS SP8 STED 3x inverted DMi8 microscope with pulsed white light laser 470-640 nm 1.5 mW and 775 nm pulse STED laser >1.5 W controlled by Leica Application Suite X software and equipped with HC PL APO CS2 100x/1.40 OIL objective used with Leica Type F immersion oil n=1.518. Unidirectional xyz scanning speed was 400 Hz, line accumulation 8. Pixel size was 20 nm in X and Y. Channel settings: 10% 585 nm laser; 775 Notch filter; 80% 775 nm STED laser, 30% 3D STED; Hybrid detector (HyD) 589-616 nm, photon-counting mode, gain 100, gating 0.4-10 ns.</p> <p>Z-stacks of STED images were deconvolved using Huygens Professional 22.10 software (Scientific Imaging B.V.). Data sets were processed using Workflow Processor. The workflow consisted of selecting images, setting up the microscopy and deconvolution parameters and saving deconvolved images as 8-bit TIFF single files for individual channels (which were later used for the quantitative analyses; see below). Microscopy parameters were optimized and set as follows. Sampling intervals were ≤20 nm in X and Y and ≤20 nm in Z. Numerical aperture was 1.4; refractive indexes of the lens immersion oil was 1.518 and of the embedding media 1.458; objective quality was good, coverslip position was 0 µm and imaging direction was downward. For nPI(4,5)P2-635P STED channel the backprojected pinhole was 216 nm; excitation (ex.) and emission (em.) wavelengths (λ) were 633 and 651 nm, resp., ex. fill factor 2. STED depletion mode was pulsed, saturation factor 25, STED λ = 775, STED immunity factor 10 and STED 3X was 30%. Classic MLE algorithm with stabilization of Z-slices was used and signal-to-noise ratio was 5.1. For SON-580 STED channel the backprojected pinhole was 195 nm; excitation (ex.) and emission (em.) wavelengths (λ) were 585 and 602 nm, resp., ex. fill factor 2. STED depletion mode was pulsed, saturation factor 20, STED λ = 775, STED immunity factor 10 and STED 3X was 30%. Classic MLE algorithm with stabilization of Z-slices was used and signal-to-noise ratio was 4.</p>
Dataset containing laser speckle-contrast images
<p>Dataset contains laser speckle-contrast images of human skin under various physiological tests (controlled respiration test, breath holding test, venous occlusion test).</p>
Probabilistic volumetric speckle suppression in OCT using deep learning: Dataset
<p>This file contains a retinal OCT intensity volume as a demo dataset to generate volumetric speckle-suppressed training data using our non-local-means despeckling (TNode) script and four OCT intensity volumes and their corresponding TNode-processed intensity volumes of different tissue samples to train and test our deep learning framework used in "Probabilistic volumetric speckle suppression in OCT using deep learning" by Chintada et al. 2023. The TNode code for generating the training data and the source code for our deep learning framework are available at https://github.com/bhaskarachintada/DLTNode.git</p>
Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations
<p>These supplementary data accompany the paper "Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations", <a href="https://iopscience.iop.org/article/10.3847/1538-3881/ada564" target="_blank" rel="noopener">published by the Astronomical Journal</a>. Table data are also available through the <a href="https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/AJ/169/145" target="_blank" rel="noopener">VizieR service</a>. <br><a href="https://ui.adsabs.harvard.edu/abs/2025AJ....169..145C/abstract" target="_blank" rel="noopener">ADS: 2025AJ....169..145C</a>, <a href="https://arxiv.org/abs/2412.20986" target="_blank" rel="noopener">arXiv: 2412.20986</a></p> <p>Observations were obtained with the Speckle Polarimeter (SPP) instrument of the 2.5-m telescope of the Caucasian Observatory of the SAI MSU.</p> <p>Full versions of Table 5 and Table 6, containing binarity information and detection limits, are stored in "table5.mrt" and "table6.mrt". Contrast curves and autocorrelation functions for all observed objects are stored in "acfs/" folder inside "SPP_contrastCurves_ACFs_Pleiades.zip". These plots can be accessed directly with filename search by Gaia DR3 source identifier. The csv-table "contrastCurves_ACFs_filenames_info.csv" contains additional information about observations - date of observation, passband, seeing, comments etc. We provide a small Jupyter notebook script "display_contrastCurves_ACFs.ipynb" to display available observations along with fragments of Table 5 and Table 6 for specified object.</p>
Fig. 1 in First Japanese Record of the Speckled Grouper Epinephelus magniscuttis (Perciformes: Serranidae) from the Osumi Islands
Fig. 1. Fresh specimen of Epinephelus magniscuttis (KAUM–I. 73560, 613.0 mm standard length, Tanega-shima island, Osumi Islands, Kagoshima, Japan).
Data Archive for "Speckle Noise Reduction via Linewidth Broadening for Planetary Laser Reflectance Spectrometers"
<p>This archive contains the raw speckle images and experimental notes for the data contained in the journal article: "Speckle Noise Reduction via Linewidth Broadening for Planetary Laser Reflectance Spectrometers".</p> <p>The data available are:</p> <p>Raw speckle images for each of 5 illumination sources:</p> <ol> <li>Single-Frequence diode (files are named "IPS")</li> <li>Dual Mode pump diode (files are named "II-IV")</li> <li>Fabry Perot didoe (files are names "FP")</li> <li>Superluminescent Diode (files are named "SLD")</li> <li>Whilte light halogen source (files are named "WL")</li> </ol> <p>For each of theses source there are 5 images for each reflectance target, four speckle patterns and one background image with the laser source off. The naming convention is:</p> <p>LaserName_TargetReflectance_Target Rotation State or BKG.tiff</p> <p>For example, IPS_50_2 is the single-frequency laser using the 50% reflectance target and second rotation state of the target.</p> <p>The integration time for each image is give in the file "Experiment Paramters.csv" and was manually change to keep the maximum intensity at roughly 75% saturation.</p> <p>The spectra of the three laser sources presented in the manuscript are also included as .csv files</p>
Raw data for: Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
<p>This collection of data contains all raw data needed to reproduce the results in the paper:</p> <p>Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011</p> <p>It can also be used as a demonstration dataset for our Python package fours.</p> <p>More details can be found in the online documentation of our python package:<br><a href="https://fours.readthedocs.io/en/latest/">https://fours.readthedocs.io/en/latest/</a></p>
Intermediate results for: Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
<p>This collection contains all intermediate results needed to reproduce the results in the paper:</p> <p>Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011</p> <p>You can use these intermediate results to create all plots in our paper without the need to run all experiments on a large cluster.</p> <p>More details can be found in the online documentation of our python package:<br><a href="https://fours.readthedocs.io/en/latest/">https://fours.readthedocs.io/en/latest/</a></p>
Tentacle transcriptomes of the speckled anemone (Actiniaria: Actiniidae: Oulactis sp.): venom-related components and their domain structure
<p>This data set pertains to the transcriptome and proteomic analysis conducted on the tentacles of the speckled anemone (<em>Oulactis</em> sp. - yet to be formally described) from Australia. The aim of the study was to mine for novel peptide and proteins related to the venom in the tentacles of the speckled anemone. These sequences could then be used in structure, function and evolution studies in the search for sequences with potential therapeutic use.</p> <p>The data set includes the quant.sf for each individual (1, 2 and 3) and the Trinotate annotation reports for each individual and their assembly annotation.</p>
Linked collectors and determiners for: Lost and Found: Taxonomic revision of the speckled skink (Oligosoma infrapunctatum; Reptilia; Scincidae) species complex from New Zealand reveals a potential cryptic extinction, resurrection of two species, and description of three new species.
Natural history specimen data linked to collectors and determiners held within, "Lost and Found: Taxonomic revision of the speckled skink (Oligosoma infrapunctatum; Reptilia; Scincidae) species complex from New Zealand reveals a potential cryptic extinction, resurrection of two species, and description of three new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b753c71a-aad2-4e6e-9e62-c80348c2cff2">https://bionomia.net/dataset/b753c71a-aad2-4e6e-9e62-c80348c2cff2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b753c71a-aad2-4e6e-9e62-c80348c2cff2">https://gbif.org/dataset/b753c71a-aad2-4e6e-9e62-c80348c2cff2</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomic revision of the speckled crabs, genus Arenaeus Dana, 1851 (Brachyura: Portunidae) based on morphological and molecular data.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic revision of the speckled crabs, genus Arenaeus Dana, 1851 (Brachyura: Portunidae) based on morphological and molecular data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5e87f718-703c-4280-8ca9-f8b6d0f3b402">https://bionomia.net/dataset/5e87f718-703c-4280-8ca9-f8b6d0f3b402</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5e87f718-703c-4280-8ca9-f8b6d0f3b402">https://gbif.org/dataset/5e87f718-703c-4280-8ca9-f8b6d0f3b402</a>. Formatted as a Frictionless Data package.
Figure 2 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 2. Arenaeus cribrarius (Lamarck, 1818). Monthly frequency distribution of females in class size (CW), from August 1996 to July 1997.
Figure 1 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 1. Arenaeus cribrarius (Lamarck, 1818). Monthly frequency distribution of males in class size (CW), from August 1996 to July 1997.
Figure 5 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 5. Arenaeus cribrarius (Lamarck, 1818). Growth curve in size (A) and weight (B) according to the Von Bertalanffy model, obtained from males (thick line) and females (thin line), captured in August 1996 to July 1997 in Ubatuba (SP). CW, carapace width; WW, wet weight; dotted line, asymptotic size; arrows, maximum age attained; circles, size or weight related to maximum age.
Figure 4 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 4. Arenaeus cribrarius (Lamarck, 1818). Ford–Walford transformation showing the best linear fit among the initial size and the final size after 1 month (CW+Δt), for males (A) and females (B) captured from August 1996 to July 1997 in Ubatuba (SP).
Figure 3 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 3. Arenaeus cribrarius (Lamarck, 1818). Annual cohort of males (A) and females (B) captured monthly during August 1997 to July 1998 in Ubatuba (SP). Values are means and standard deviations. CW, carapace width; C1–C6, monthly cohorts.
Figure 6 in Growth of the speckled swimming crab, Arenaeus cribrarius (Lamarck, 1818) (Crustacea, Brachyura, Portunidae), in Ubatuba (SP), Brazil
Figure 6. Comparative analyses of growth curves in size for males (A) and females (B) among portunid species. CW, carapace width.
From Noise to Signal: Multi-layer Speckle Correlation with Applications in Visible Light Communication
<p>Dataset for journal article "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers"</p> <p>The basic publication is:<br> Alfredo Rates, Joris Vrehen, Bert Mulder, Wilbert L. IJzerman, and Willem L. Vos, "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers", Opt. Express <strong>31</strong>, 23897-23909 (2023).<br> <br> We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and to reproduce all the figures of our paper.</p> <p>The upload contains the file "Metadata.txt" explaining the content of the upload.</p>
Data from: Highly efficient generation of germline mutations using CRISPR/Cas9 in the speckled wood butterfly Pararge aegeria
Open the record for dataset details and reuse information.
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