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218 results for “electron imaging”

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zenodo32/100

FIGURE 8. SEM images. A in Comparison of the predatory rotifers Pleurotrocha petromyzon (Ehrenberg, 1830) and Pleurotrocha sigmoidea Skorikov, 1896 (Rotifera: Monogononta: Notommatidae) based on light and electron microscopic observations

FIGURE 8. SEM images. A. Sculptured egg of Pleurotrocha petromyzon in Carchesium -colony. B. Remaining stalks of a Carchaesium -colony. eg egg.

opennotspecifiedDec 2009View details →
zenodo32/100

Cryo-electron microscopy images of thin, vitreous biological samples with gold fiducial markers

<div> <p lang="EN-US"><span lang="EN-US"><span>Set of images compiled from EMPIAR </span><span>and </span><span>the </span><span>CryoET</span><span> Data Portal </span><span>with</span><span> corresponding segmentations of gold fiducial markers.</span></span><span>&nbsp;</span></p> </div> <div> <p lang="EN-US"><span lang="EN-US"><span>All images&nbsp;have been rescaled to a pixel size of 8 &Aring;/</span><span>px</span></span><span>&nbsp;</span></p> </div> <div> <p lang="EN-US"><span lang="EN-US"><span>Annotations performed manually using </span><span>napari</span><span>.</span></span><span>&nbsp;</span></p> </div> <div> <p lang="EN-US"><span lang="EN-US"><span>EMPIAR-10009 - Cryo-electron tomography of an C1-IgG complex</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10046 - Mouse 5-HT3 receptors in lipid vesicles</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10164 - immature HIV-1 </span><span>dMACANC</span><span> VLPs</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10304 - Improved applicability and robustness of fast cryo-electron</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>tomography data acquisition<br></span></span><span lang="EN-US"><span>EMPIAR-10364 - E. coli minicells (collected with a volta phase plate)</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10453 - SARS-CoV-2</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10631 - fungal membrane-assembled </span><span>retromer:Grd</span><span>19 coat </span><span>containing</span><span> Kex2</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>cargo motif</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>EMPIAR-10814 - mouse DRG axons</span></span><span><span>&nbsp;</span><br></span><span lang="EN-US"><span>DS-10431 - Plasma membranes isolated by unroofing</span></span><span>&nbsp;</span></p> </div>

opencc-by-4.0Feb 2023View details →
zenodo32/100

IODP Expedition 391 Scanning electron microscope images

Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.

opencc-by-4.0Oct 2023View details →
zenodo32/100

Fresnel imaging of ferromagnetic domain wall motion using fast pixelated electron detector

<p>This deposit contains supplementary datasets and data processing scripts used in the Master Thesis by Rajith Aravinth at the Norwegian University of Science and Technology (NTNU).</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan

◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H

opennotspecifiedJan 2022View details →
zenodo32/100

◂Fig. 9 Scanning electron microscopy images of branches of Ramisyllis kingghidorahi n. sp. A–F Midbody branching regions with segments of different morphologies, as long as wide with long dorsal cirri in A–C, much longer with short dorsal cirri in D, E and F Details of cirri alternation in length. A, C, E–F In dorsal view; B and D in ventral view. Scale bars: 200 µm A, C, 100 µm B, F, 400 µm D, and 500 µm E in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan

◂Fig. 9 Scanning electron microscopy images of branches of Ramisyllis kingghidorahi n. sp. A–F Midbody branching regions with segments of different morphologies, as long as wide with long dorsal cirri in A–C, much longer with short dorsal cirri in D, E and F Details of cirri alternation in length. A, C, E–F In dorsal view; B and D in ventral view. Scale bars: 200 µm A, C, 100 µm B, F, 400 µm D, and 500 µm E

opennotspecifiedJan 2022View details →
zenodo32/100

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&nbsp; <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>&nbsp;(<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>&nbsp;</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>&nbsp;</p> <p>Typical magnification was 25,000x and 30,000x.</p> <p>&nbsp;</p> <p>HDE image</p> <p>The resolution was 4096 x 4096 pixels and its&nbsp;exposure time was 5 s.</p> <p>The typical total doses was 10<sup>10</sup>&nbsp;e<sup>-.</sup></p> <p>&nbsp;</p> <p>LDE image</p> <p>The resolution was 512 x 512 pixels and its&nbsp;exposure time was 3.3 ms.</p> <p>The typical total doses was 10<sup>6</sup>&nbsp;e<sup>-</sup>.</p> <p>&nbsp;</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>&nbsp;</p> <p>&nbsp;</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>&nbsp;</p>

openmit-licenseAug 2022View details →
zenodo32/100

FIGURE. Disc ovary in a taxon of Callilepis with imbricate involucral bracts. A. Digital image of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the entire surface twin hairy. B. Scanning electron micrograph of the surface of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the twin hairs on the surface. in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa

FIGURE. Disc ovary in a taxon of Callilepis with imbricate involucral bracts. A. Digital image of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the entire surface twin hairy. B. Scanning electron micrograph of the surface of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the twin hairs on the surface.

opennotspecifiedSep 2022View details →
zenodo32/100

FIGURE. Disc cypselae and pappus in Callilepis taxa. A. Scanning electron micrograph of the laterally compressed disc cypsela of C. laureola var. laureola with one long and one short awn (Bester 13813, PRE). B. Digital image of the inner ray floret of C. leptophylla with laterally compressed ovary, one long awn and one short awn (Van Vuuren 1307, PRE). C. and D. Scanning electron micrographs of the disc cypselae of C. lancifolia: C, with one pappus awn and scales and D, no pappus awns, only scales (Koekemoer 5555, PRE). in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa

FIGURE. Disc cypselae and pappus in Callilepis taxa. A. Scanning electron micrograph of the laterally compressed disc cypsela of C. laureola var. laureola with one long and one short awn (Bester 13813, PRE). B. Digital image of the inner ray floret of C. leptophylla with laterally compressed ovary, one long awn and one short awn (Van Vuuren 1307, PRE). C. and D. Scanning electron micrographs of the disc cypselae of C. lancifolia: C, with one pappus awn and scales and D, no pappus awns, only scales (Koekemoer 5555, PRE).

opennotspecifiedSep 2022View details →
zenodo32/100

Automated Stitching of Noisy Scanning Electron Microscopy Images for Integrated Circuit Reverse Engineering

<p>A scanning electron microscope (<strong>SEM</strong>) usually creates images in the range of megapixel resolutions, but analyzing an IC layer requires resolutions in the gigapixel range. To create such large images, many individual images must be taken and then fused into one large image, which poses unique challenges: <strong>SEM</strong> images are affected by distortion due to charging effects and often exhibit high levels of noise and low contrast. One way of reducing the entry barrier to IC reverse engineering is to develop algorithms that can provide good results even in the case of suboptimal image quality, as can be produced by older, more readily available <strong>SEMs</strong>.</p> <p>This dataset contains images and additional information that has been cut from the PAINE paper due to length constraints. It also links to the thesis which served as base for the PAINE paper.</p>

opencc-by-nc-sa-4.0Oct 2022View details →
zenodo32/100

IODP Expedition 371 Scanning electron microscope images

Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.

opencc-by-4.0Feb 2019View details →
zenodo32/100

Atomic resolution high-angle annular dark field scanning transmission electron microscopy imaging of WSe2 encapsulated within hexagonal boron nitride

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo32/100

Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 05 (SARS-CoV-2 Delta B.1.617.2)

<p>Dataset 05 comprises 153 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Delta B.1.617.2) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 05 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 03 (SARS-CoV-2 Alpha B.1.1.7)

<p>Dataset 03 comprises 147 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Alpha B.1.1.7) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 03 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 01 (SARS-CoV-2 Munich929)

<p>Dataset 01 comprises 150 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Munich929) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 01 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Fig. 6 Cnidosacs and nematocysts. a–d Transmission electron microscopic images, longitudinal sections. a in Pseudovermis paradoxus 2.0-3D microanatomy and ultrastructure of a vermiform, meiofaunal nudibranch (Gastropoda, Heterobranchia)

Fig. 6 Cnidosacs and nematocysts. a–d Transmission electron microscopic images, longitudinal sections. a Overview of an entire cnidosac. b Close-up of nematocysts. c Intact nematocyst. d Degraded nematocyst and muscular lining. clw cell wall, cp cnidophage, cw capsule wall, dnc degraded nematocyst, fi filament thread, ha harpoon, inc intact nematocyst, lu lumen, m mitochondrion, ml muscular lining, mv microvilli, nc nematocyst, nu nucleus, vac vacuole

opennotspecifiedJan 2019View details →
zenodo32/100

FIGURE 4. Scanning electron microscope images. A in Three new species of Acalypha (Euphorbiaceae, Acalyphoideae) from Argentina, Bolivia, Brazil and Paraguay

FIGURE 4. Scanning electron microscope images. A. Teeth of the female bract of Acalypha chaquensis showing the stellate crystalliferous papillae (from A. Schinini &amp; E. Bordas 17839, MO). B. Detail of stellate crystal on the female bract of Acalypha communis subsp. apicalis (Nicholas Edward Brown) Cardiel &amp; P.Muñoz (2013: 1296) (from J.C. Solomon 6911, MO).

opennotspecifiedJun 2018View details →
zenodo32/100

Supplementary movies and datasets of the paper: Precise targeting for 3D cryo-correlative light and electron microscopy volume imaging of tissues using a FinderTOP

<p>Imaging data supporting the paper:&nbsp;</p> <p>Precise targeting for 3D cryo-correlative light and electron microscopy volume imaging of tissues using a FinderTOP, containing raw and processed data from fluorescent and electron microscopy.</p> <p>&nbsp;</p>

openApr 2023View details →
zenodo32/100

Momentum space imaging of ultra-thin electron liquids in δ-doped silicon

<p><strong>Dataset:&nbsp;</strong>SX-ARPES raw data, processed data and the codes used for analysing and data fitting our work at doi/10.1002/advs.202302101 are all available here. The theoretical mdelling is also avaiable.</p> <p><strong>Abstract: </strong>Two-dimensional dopant layers (&delta;-layers) in semiconductors provide the high-mobility electron liquids (2DELs) needed for nanoscale quantum-electronic devices. Key parameters such as carrier densities, effective masses, and confinement thicknesses for 2DELs have traditionally been extracted from quantum magnetotransport. In principle, the parameters are immediately readable from the one-electron spectral function that can be measured by angle-resolved photoemission (ARPES). Here, we measure buried 2DEL &delta;-layers in silicon with soft X-ray (SX) ARPES to obtain detailed information about their filled conduction bands and extract device-relevant properties. We take advantage of the larger probing depth and photon energy range of SX-ARPES relative to vacuum ultraviolet (VUV) ARPES to accurately measure the &delta;-layer electronic confinement. Our measurements are made on ambient-exposed samples and yield extremely thin (&lt; 1 nm) and dense (~10<sup>14</sup> cm<sup>-2</sup>) 2DELs. Critically, we use this method to show that &delta;-layers of arsenic exhibit better electronic confinement than &delta;-layers of phosphorus fabricated under identical conditions.</p>

opencc-by-4.0Jul 2023View details →
ClinicalTrials.gov32/100

Prostate Localization During Radiotherapy Using a Ni-Ti Stent and Electronic Portal Imaging - Protocol II

ClinicalTrials.gov study NCT00250224. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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