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ShareScore release 0.9.0
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34 results for “Colour images”
Multi-colour SMLM images of untreated and drug-treated Escherichia coli (LB, exponential phase)
<p>This dataset and CARE model is part of the publication "<strong>Transertion and cell geometry organize the <em>Escherichia coli</em> nucleoid during rapid growth</strong>".</p> <p>It contains all SMLM images that were used for the publication, as well as the single-cell regions of interest for analyses.</p> <p>Cells were grown to exponential phase in LB Lennox and antibiotics were added for 0-60 min. Cultures were then chemically fixed, permeabilised and imaged for the nucleoid (JF<sub>646</sub>-Hoechst) and membranes (Nile Red) using PAINT. The strain (NO34) expresses a MreB<sup>sw</sup>-sfGFP fusion protein from the native chromosomal locus. It was a kind gift from Zemer Gitai (<a href="http://doi:10.1016/j.bpj.2016.07.017">Ouzounov et al., 2016</a>).</p> <p>More information can be found in the publication.</p>
FIGURE 11 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 11. Fossils (bones and teeth) and a mixture of fossils and sediment (sand and gravel) from Sample 3. 1, RGB image under daylight (D65). 2, RGB image under UV light. 3, Blue channel image (grayscale) under UV light. 4, Black and white image after segmentation of the blue channel image.
FIGURE 9. 1 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 9. 1, Reflectance spectra of sediment (sand and gravel) and fossils (bones and teeth) of Sample 3. 2, Fluorescence spectra (radiance in W/sr*cm2) of sediment (sand and gravel) and fossils (bones and teeth) of Sample 3.
FIGURE 10 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 10. Examples of spectral images of Sample 3 through spectral bands (420, 520, 620, 670, and 720 nm) taken under daylight. An RGB computed using the sRGB - standard RGB colour space image is also provided.
FIGURE 4 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 4. Examples of spectral images of Sample 1 through spectral bands (420, 520, 620, 670, and 720 nm) taken under daylight. An RGB image computed using the sRGB - standard RGB colour space is also provided.
FIGURE 8 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 8. RGB images of Sample 2 with ferrous particles, bones-teeth, sand-gravel and a mixture of bonesteeth and sand-gravel. 1, Under daylight (D65). 2, Under UV Light.
FIGURE 3. 1 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 3. 1, Reflectance spectra of sediment (sand and gravel) and fossils (bones and teeth) of Sample 1. 2, Fluorescence spectra (radiance in W/sr·cm2) of sediment (sand and gravel) and fossils (bones and teeth) of Sample 1.
FIGURE 6. 1 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 6. 1, Reflectance spectra of sediment (sand and gravel), fossils (bones and teeth) and ferrous sediment of Sample 2. 2, Fluorescence spectra (radiance in W/sr*cm2) of sediment (sand and gravel), fossils (bones and teeth) and ferrous sediment of Sample 2.
FIGURE 1. 1 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 1. 1, Wet sieving process of palaeontological samples using Freudenthal's technique. 2, Visual recognition and separation of teeth and bones using a binocular microscope and pincers.
FIGURE 7 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 7. Examples of spectral images of Sample 2 through spectral bands (420, 520, 620, 670 and 720 nm) taken under daylight. An RGB computed using the sRGB - standard RGB colour space image is also provided.
FIGURE 5 in Multispectral and colour imaging systems for the detection of small vertebrate fossils: A preliminary study
FIGURE 5. Mixture of bones-teeth and sand-gravel from Sample 1. 1, RGB image under daylight (D65). 2, RGB image under UV light. 3, Blue channel image under UV light. 4, Green channel image (grayscale) under UV light. 5, Black and white image after segmentation of the green channel image.
Dataset for: Influence of colour vision on attention to, and impression of, complex aesthetic images
<p>Humans exhibit colour vision variations due to genetic polymorphisms, with trichromacy being the most common, while some people are classified as dichromats. Whether genetic differences in colour vision affect the way of viewing complex images remains unknown. Here, we investigated how people with different colour vision focused their gaze on aesthetic paintings by eye-tracking while freely viewing digital rendering of paintings and assessed individual impressions through a decomposition analysis of adjective ratings for the images. Gaze concentrated areas among trichromats were more highly correlated than those among dichromats. However, compared to the brief dichromatic experience with the simulated images, there was little effect of innate colour vision differences on impressions. These results indicate that chromatic information is instructive as a cue for guiding attention, whereas the impression of each person is generated according to their own sensory experience and normalised through one's own colour space.</p>
Multi-colour super-resolution images of untreated and rifampicin-treated Xenorhabdus doucetiae (LB, exponential phase)
<p> This dataset and CARE model is part of the publication "<strong>Transertion and cell geometry organize the </strong><i><strong>Escherichia coli</strong></i><strong> nucleoid during rapid growth</strong>".</p><p>It contains all SMLM images that were used for the publication, as well as the single-cell regions of interest for analyses.</p><p>Xenorhabdus doucetiae chromosomally expressing MreBsw-sfGFP were grown to exponential phase in LB Lennox and antibiotics were added for 0-30 min. Cultures were then chemically fixed, permeabilised and imaged for the nucleoid (JF646-Hoechst) and membranes (Nile Red) using PAINT.</p><p>More information can be found in the publication.</p>
Dataset for: Influence of colour vision on attention to, and impression of, complex aesthetic images
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An Image-Based Gamut Analysis of Translucent Digital Ceramic Prints for Coloured Photovoltaic Modules: Supplementary Data
<p>Colouring the frontglass of PV modules via digital ceramic printing aids in concealing the PV when integrated into existing building façades as BIPV, while admitting sufficient light to produce electricity. This promotes the visual acceptance and adoption of PV as a source of renewable energy in urban environments. The effective colour of the PV laminate is a combination of the transparent colour on glass and the colour of the PV cells. This colour should ideally match the architect’s visual expectations in terms of fidelity, but also in terms of relative PV efficiency as a function of print density. In practice, these requirements are often contradictory, particularly for vivid colours, and the visual results may deviate significantly. This paper presents an objective analysis of how colours appear on PV frontglass laminated with a PV module, using an image-based colour acquisition process. Given a set of 1044 nominal colours uniformly distributed in the RGB colour space, each printed in 10 opacities, we quantify the range of effective colours observed when printed on glass and combined with PV, and their deviation from the nominals. Our results confirm that the effective colour gamuts are significantly constrainted and skewed, depending on the ink volume and glass finish used for printing. In particular, blue-magenta hues cannot be reliably rendered with this process. These insights can serve as guidelines for selecting target colours for BIPV that can be well approximated in practice.</p>
Rapid and reversible humidity-dependent colour change by water film formation in a scaled springtail: Image compilations and video recordings
<p><span>Colour is often not a static trait but can change over time either through biotic or abiotic factors. Humidity-dependent colour change can occur through either morphological change (e.g. to feather barbules in birds) or by the replacement of air by water causing a shift in refractive index, as seen in arthropod multilayer cuticles or scales. The scaled springtail <em>Lepidocyrtus</em> <em>cyaneus</em> has scales that produce color largely via thin film interference from their lamina. We observed a marked colour change from golden to violet/purple colouration in humid conditions. Light microscopy, microspectrophotometry, contact angle goniometry and optical modelling indicate that the formation of a thin film of water on top of the hydrophilic scales increases their laminar thin film thickness, causing a shift towards violet/purple colour. Evaporation of the water film causes the metallic golden colour to return. This constitutes a remarkably rapid colour change (in the order of seconds), only limited by the speed of water film condensation and evaporation, that may serve as inspiration for new dynamically coloured materials and sensors.</span></p>
Data from: A comparison of image statistics of peacock jumping spider colour patterns and natural scenes
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Rapid and reversible humidity-dependent colour change by water film formation in a scaled springtail: Image compilations and video recordings
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Data from: The evolution of colour polymorphism in British winter‐active Lepidoptera in response to search image use by avian predators
Phenotypic polymorphism in cryptic species is widespread. This may evolve in response to search image use by predators exerting negative frequency‐dependent selection on intraspecific colour morphs, "apostatic selection". Evidence exists to indicate search image formation by predators and apostatic selection operating on wild prey populations, though not to demonstrate search image use directly resulting in apostatic selection. The present study attempted to address this deficiency, using British Lepidoptera active in winter as a model system. It has been proposed that the typically polymorphic wing colouration of these species represents an anti‐search image adaptation against birds. To test (a) for search image driven apostatic selection, dimorphic populations of artificial moth‐like models were established in woodland at varying relative morph frequencies and exposed to predation by natural populations of birds. In addition, to test (b) whether abundance and degree of polymorphism are correlated across British winter‐active moths, as predicted where search image use drives apostatic selection, a series of phylogenetic comparative analyses were conducted. There was a positive relationship between artificial morph frequency and probability of predation, consistent with birds utilising search images and exerting apostatic selection. Abundance and degree of polymorphism were found to be positively correlated across British Lepidoptera active in winter, though not across all taxonomic groups analysed. This evidence is consistent with polymorphism in this group having evolved in response to search image driven apostatic selection and supports the viability of this mechanism as a means by which phenotypic and genetic variation may be maintained in natural populations.
Nikon Ri2 colour image nd2 file
<p>Cells with blue counterstain imaged using a Nikon Ti2 microscope and Nikon Ri2 camera</p>
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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.