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226 results for “Microscope image”
Fig. 19. SEM and microscope images. A in A reassessment of the Neotropical genus Pseudonannolene Silvestri, 1895: cladistic analysis, biogeography, and taxonomic review (Spirostreptida: Pseudonannolenidae)
Fig. 19. SEM and microscope images. A. Head of Pseudonannolene robsoni Iniesta & Ferreira, 2014 (IBSP 3526), in frontal view. B. Head of P. occidentalis Schubart, 1958 (IBSP 1998), in frontal view. C. Collum of P. robsoni (IBSP 3506), in lateral view. D. Head of P. robsoni (IBSP 3526), in lateral view. E. Gnathochilarium of P. microzoporus Mauriès, 1987 (IBSP 3497). F. Detail of gnathochilarium of P. microzoporus (IBSP 3497). Scale bars: A–B = 500 µm; C, F, = 200 µm; D = 1 mm; E = 100 µm.
IODP Expedition 369 Scanning electron microscope images
<p>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.</p>
IODP Expedition 382 Scanning electron microscope images
<p>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.</p>
IODP Expedition 392 Scanning electron microscope images
<p>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.</p>
Microscopic images of Dictyosphaeria ocellata (Howe 5090 and Howe 5585), New York Botanical Garden (NY)
<p>Microscopic images of</p> <p>Valonia ocellata M.Howe - M. A. Howe 5090, 1907-11-25, Bahamas, Watling Island, in the lagoon, 24.063924 -74.532563, New York Botanical Garden (NY) 00937651 (Holotype)</p> <p>Valonia ocellata M.Howe – M.A. Howe 5585, 1907-12-16, Turks and Caicos Islands, Cockburn Harbor, South Caicos, B.W.I., 21.500434 -71.532698, New York Botanical Garden (NY) 02140870</p>
A three-photon head-mounted microscope for imaging all layers of visual cortex in freely moving mice
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Microscopic images and schematics illustrating processes of microenvironment sensing and cortical actomyosin partitioning in T cells
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Data from: Combined fluorescent and electron microscopic imaging unveils the specific properties of two classes of meiotic crossovers
<p>Crossovers (COs) shuffle genetic information and allow balanced segregation of homologous chromosomes during the first division of meiosis. Recombination nodules (RNs) are closely correlated with crossing over, and, because they are observed by electron microscopy of synaptonemal complexes (SCs) in extended pachytene chromosomes, RNs provide the highest-resolution cytological marker currently available for defining the frequency and distribution of crossovers along the length of chromosomes. In several organisms, mutants demonstrate that two molecularly distinct pathways produce COs. One pathway produces class I COs that exhibit interference (lowered probability of nearby COs), and the other pathway produces class II COs with little or no interference. However, the relative contributions, genomic distributions, and interactions of these two pathways are essentially unknown in nonmutant organisms because marker segregation only indicates that a CO has occurred, not its class type. Here, we combine the efficiency of light microscopy for revealing cellular functions using a fluorescent probe to MLH1 proteins to mark class I COs with the high resolution of electron microscopy to localize and characterize all COs (RNs) in the same sample of meiotic pachytene chromosomes from wild-type tomato. To our knowledge, for the first time, every CO along each chromosome can be identified by class to unveil specific characteristics of each pathway. We find that class I (MLH1-positive) and class II (MLH1-negative) COs have different recombination profiles along chromosomes. In particular, class II COs, which represent about 18% of all COs, exhibit no interference and are disproportionately represented in pericentric heterochromatin, a feature potentially exploitable in plant breeding. Finally, our results demonstrate that the two pathways are not independent because there is interference between class I and II COs.</p>
Reporter CRISPR screens decipher cis- and trans-regulatory principles at the Xist locus [Microscope images - Oct4 KDs]
<p>Microscope images related to Figure 2 in Schwämmle et al. 2025. </p> <p>The cells are undifferentiated or day 2 differentiated TX1072 XX SP427 mESCs with (or without) Oct4 knockdown in the indicated media.</p> <p>Exonic Xist is stained using Cy5 Stellaris probes. The nuclei are stained using DAPI.</p> <p>These files were used to manually count Xist clouds (see fish_sgOct4_manual.txt for counts). For code to visualize the results see https://github.com/EddaSchulz/TFiScreen_Paper. RA samples relate only to the biorXiv release of the manuscript (https://doi.org/10.1101/2024.10.08.617282).</p>
X-ray absorption data and microscopic images of "Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO"
<p>XANES and EXAFS data (Figure 1F-H, Figure 3A-B, Figure S2F-H, Figure S3H-I, Figure S10A-B, Figure S11A-B,E-F, Figure S12A, Figure S14D-E)</p> <p>Microscopic images (Figure 1A-D, Figure S2B,D, Figure S4A-B,D-E, Figure S9A-C,E Figure S13A-D)</p> <p>of the research paper 'Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO'.</p>
Microscope Image Analysis Course Sept 2109 -- Image Data siRNA Screen
<p>Contains 380 Fluorescence images of DAPI stained HeLa nuclei, acquired in 42 wells of a 384 well plate. individual wells were treated with siRNA according to the layout file. Images were acquired with an Olympus ScanR system at 10x magnification, maetadata is given in the experiment_descriptor.xml file.</p>
Siwiec et al 2024 - RAW full microscopic images; DG PV-SOM-GFP staining in Htr7-GFP mice
<p>The archive contains raw microscopic images in Zeiss (.czi) format obtained during the Siwiec 2024 study (https://www.biorxiv.org/content/10.1101/2024.09.17.613425v1). Datafiles contain Z-stacks of microscopic images with metadata and four image channels (immunostaining for parvalbumin, somatostatin and GFP, with DAPI nuclear counterstain; see describing work for technical details) of transverse hippocampal sections from transgenic Htr7-GFP mice Tg(Htr7-EGFP)ST29Gsat.</p> <p> </p> <p>Example open software supporting .czi files: FIJI, Bio-Formats, ZEISS libczi C++ library (github.com/ZEISS/libczi) and its implementations (e.g. aicspylibczi in Python).</p>
Fused image dataset from light sheet microscope
<p>Example dataset that ships with VollSeg Napari samples, providing a 3D imaged dataset of fused Acadian embryo imaged with light sheet and fused over 4 angles.</p>
Dataset for "Effective super-resolution method for paired electron microscopic images"
<p>This is the image set used in the paper, Qian, Xu, Drummy, and Ding, 2020, “Effective super-resolution method for paired electron microscopic images,” <em>IEEE Transactions on Image Processing</em>, Vol. 29, pp. 7317–7330.</p>
Raw, unprocessed SEM data images for: Figure 1: Scanning electron microscope images of "type-1 bone collagen" demineralized bone matrix fibrils
<p>Raw, unprocessed SEM data images for Figure 1 of the manuscript: Scanning electron microscope images of "type-1 bone collagen" demineralized bone matrix fibrils. (A) Fibrils from the <em>B</em>. <em>taurus</em> extant long bone control. Prominent banding (~67nm) is present that is characteristic of type-1 collagen protein fibrils (Boatman et al., 2019; Gottardi et al., 2016; Lin et al., 1993; Rabotyagova et al., 2008; Tzaphlidou, 2005). (B) Permafrost YG 610.2397 <em>M</em>. <em>primigenius</em> demineralized bone matrix fibrils. An ~67nm banding pattern on the fibrils is also observed but is somewhat less distinct in comparison to that of the extant <em>B</em>. <em>taurus</em> specimen. (C) Observed fibril structures in the temperate MOR 91.72 <em>M</em>. <em>columbi</em> specimen. Fibril banding is generally absent, suggesting the original chemical state of the type-1 collagen fibrils/sequences is substantially altered.</p>
Sample microscopic images of soil microorganism
<p>The images within this repository contains raw, unprocessed, microscopic images of soil fungi belonging to the following genera: Fusarium, Trichoderma, Verticillium, and Chromista of the Phytophthora genus that filenames contain name of the genus followed by underscore and number of an image for a given genera. Each image is labeled based on the specific microorganism genus it represents. The subimages images contains retrieved subimages, where each subimage corresponds to a single object that contains fragments of a microorganism. The subimages are generated from the original images and follow a specific naming convention. The image name indicates the microorganism genus, followed by information about the input image it was generated from, and finally the number of the retrieved subimage from that input image.</p> <p>These subimages are utilized for training purposes using the Transfer Learning method with the CNN model called ResNet50.</p> <p>This repository is provided as a Supplementary Material to the article "Automated Identification of Soil Fungi and Chromista through Convolutional Neural Networks" submitted to the <a href="https://www.sciencedirect.com/journal/engineering-applications-of-artificial-intelligence">Engineering Applications of Artificial Intelligence</a> journal.</p>
Annotated dataset of microscope images of pollen grains in honey from 17 beekeeping taxa
<p><strong>Annotated dataset of microscope images of pollen grains in honey from 17 beekeeping taxa</strong></p><p>Melissopalynology is a method based on the separation of pollen grains present in honey and the identification of the plant species to which they belong. It is used to determine the botanical, but also the geographical origin of the honey, as well as its commercial value. For this reason, a database including microscope images and characteristics of pollen grains of 17 beekeeping taxa, usually present in honey samples, was created. </p><p>For the honey preparations the methodology of Louveaux et al. (1978) and Von Der Ohe et al. (2004) was followed. Specifically, 5.0 g of honey were weighed and dissolved in 10 ml of distilled water. The solution was centrifuged for 10 min at 2300 r/min. The supernatant solution was discarded and the precipitate was transferred with a disposable plastic Pasteur pipette onto a slide, where it was spread with the addition of fuchsin on a 22 x 22 mm surface. Staining with fuchsin helps to see in greater detail the morphological characteristics of the pollen grains. The preparation was dried by gentle heating to 40°C, on a heating plate and covered with a coverslip on which a small amount of Entellan adhesive (Merck) has been placed. The pollen grains were photographed on an optical microscope (Olympus SZX12), with lens 40× (Olympus DF PLAPO 1X DF) and a digital analysis camera (Olympus SC30), while a morphometry software (Image Pro Plus Software, V1.1.19) was used for their determination. For the microscopic identification of the pollen types, the collection of reference slides from the Laboratory of Apiculture of the Aristotle University of Thessaloniki, which is accredited to ISO 17025:2017, was used. </p><p>The dataset contains 1404 training captured microscope images of pollen grains from 17 major beekeeping taxa (class list can be found below) and 85 testing captured images. Polygon annotations were created using LabelMe software and saved in COCO Annotation format (train.json and val.json files). </p><p>Further information about the related project (SmartBeeKeep) can be found in the following article and presentation (please site if you use these data):</p><ul><li>Vasilios Liolios, Dimitrios Kanelis, Maria-Anna Rodopoulou, Chrysoula Tananaki (2023). A Comparative Study of Methods Recording Beekeeping Flora. Forests, 14(8), 1677; <a href="https://doi.org/10.3390/f14081677">https://doi.org/10.3390/f14081677</a> </li><li>Nikos Grammalidis, Andreas Stergioulas, Aggelos Avramidis, Konstantinos Karystinakis, Athanasios Partozis, Athanasios Topaloudis, Georgia Kalantzi, Chrisoula Tananaki, Dimitrios Kanelis, Vasilis Liolios, and Madesis Panagiotis "A smart beekeeping platform based on remote sensing and artificial intelligence", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860C (21 September 2023); <a href="https://doi.org/10.1117/12.2681866%20">https://doi.org/10.1117/12.2681866</a> Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus <a href="https://smartbeekeep.eu/files/rscyp23_sbk_paper.pdf">Author preprint available</a></li></ul><p><strong>Annotation - Latin name</strong></p><p>Myrtus - Myrtus communis</p><p>Brassicaceae - Brassicaceae</p><p>Cercis - Cercis siliquastrum</p><p>Helianthus annuus - Helianthus annuus</p><p>Lavandula - Lavandula angustifolia</p><p>Robinia pseudacacia - Robinia pseudoacacia</p><p>Olea - Olea europaea</p><p>Citrus - Citrus sp.</p><p>Paliurus - Paliurus spina-christi</p><p>Eucalyptus - Eucalyptus sp.</p><p>Polygonum - Polygonum aviculare</p><p>Carduus - Silybum marianum</p><p>Cistus - Cistus sp.</p><p>thymus - Thymus sp.</p><p>Castanea - Castanea sativa</p><p>erica - Erica manipuliflora</p><p>Gossypium - Gossypium hirsutum</p><p> </p>
Data from: Combined fluorescent and electron microscopic imaging unveils the specific properties of two classes of meiotic crossovers
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LeaData: a novel reference data of digital microscopic leather images for automatic species identification
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Raw, unprocessed SEM data images for: Figure 1: Scanning electron microscope images of “type-1 bone collagen” demineralized bone matrix fibrils
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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.