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53 results for “Multispectral Imaging”
Multispectral Images of the Kiev Folia
<p>Multispectral Images of the Kiev Folia (F. 301, Nr. 328 P), acquired at the Kiev National Library in 2018.</p> <p>Detailled descriptions of image acquisition, processing and usage are found in<em> Images_Kiev-Folia_zenodo_1.0.pdf </em></p>
Multispectral Spectral Imaging dataset for use in Heritage Science
<p>The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. </p> <p>This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. </p> <p>We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. </p> <p>If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. </p> <p>Other Data sets available <a href="https://zenodo.org/record/7319696#.Y3NuOXbP2Uk">Here</a></p> <p>E: <a href="mailto:molly.fort.21@ucl.ac.uk">molly.fort.21@ucl.ac.uk</a> </p> <p>Object Paradata; </p> <ul> <li><strong>Postcard – c. Early 1900's </strong></li> <li><strong>Language – Eng. </strong></li> <li><strong>Materials – colour print on card, metallic leafing. </strong></li> <li><strong>Front transcription - </strong></li> <li><strong> ‘Greetings’ </strong></li> <li><strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong></li> <li><strong>Object Dimensions – 138mm X 88mm </strong></li> </ul> <p>The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015.</p> <p>This folder contains:</p> <ul> <li>Images captured using a <a href="https://photography.phaseone.com/xf-camera-system/">PhaseOne XF Multispectral Camera System.</a> <ul> <li>Image filenames are arranged as postacards_postcardmsi-<strong>Postcard</strong>- <strong>(Wavelength No.)(Filter)</strong>_*sequence order number*_R.tif where wavelength number is the nominal central illumination wavelength in nm (365, 385, 410, 420, 450, 480, 510, 550, 600, 630, 640, 660, 740, 850, 940), Filter is the colour of the long-pass filter (N - no filter, I - Infrared filter, G - Green filter, R - Red filter) and sequence order number is a count from 0001 denoting the order in which the image was acquired)</li> <li>Complementary flats for each of the object images, used typically to process even illumination distribution, captured of white, flat, smooth, non-chemically processed imaging standard flat paper with the same naming convention as above. </li> </ul> </li> <li>postcard_postcardmsi-Postcard.json - Metadata read out collected from MS camera system</li> <li>Truecolour RGB reference image</li> </ul>
Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1)
<p>Multispectral Images of the Euchologium Sinaiticum, Pars Nova (Codex Sin. Slav. NF 1), acquired in St. Catherine's Monastery, Egypt, in 2007. Detailled descriptions of image acquisition and usage are found in<em> NF1_Images_Documentation.pdf</em>.</p>
Data: Computed tomography lacks sensitivity to image gold labelled mesenchymal stromal cells in vivo as evidenced by multispectral optoacoustic tomography.
<p>This data set includes all the raw data collected for the following article: "Computed tomography lacks sensitivity to image gold labelled mesenchymal stromal cells in vivo as evidenced by multispectral optoacoustic tomography."</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.
A high-throughput multispectral imaging system for museum specimens
<p>We present an economical imaging system with integrated hardware and software to capture multispectral images of Lepidoptera with high efficiency. This method facilitates the comparison of colors and shapes among species at fine and broad taxonomic scales and may be adapted for other insect orders with greater three-dimensionality. Our system can image both the dorsal and ventral sides of pinned specimens. Together with our processing pipeline, the descriptive data can be used to systematically investigate multispectral colors and shapes based on full-wing reconstruction and a universally applicable ground plan that objectively quantifies wing patterns for species with different wing shapes (including tails) and venation systems. Basic morphological measurements, such as body length, thorax width, and antenna size are automatically generated. This system can increase exponentially the amount and quality of trait data extracted from museum specimens.</p>
UAV-based multispectral image data of a tree nursery, Eberswalde, Brandenburg, 2023 (Orthomosaics, DEMs, point clouds)
<p>This data set contains three multispectral surveys conducted with an unoccupied aerial vehicle (UAV DJI M300 RTK) of an oak tree nursery experiment</p> <ul> <li>Date of acquisition: 16.08.2023</li> <li>Location: Tree nursery, Eberswalde, Brandenburg, Germany</li> <li>UAV: DJI M300 RTK with active SAPOS connection</li> <li>Flight altitude above ground level: 30 m, 40 m, 60 m</li> <li>Image Overlap forward/side: 80 % / 80 %</li> <li>Camera: MicaSense Altum multispectral</li> <li>EPSG: 32632</li> </ul> <p>Data products: </p> <ul> <li>Orthomosaic multispectral (Resolution: 1.35 cm, 1.79 cm, 2.65 cm)</li> <li>Orthomosaic RGB</li> <li>Orthomosaic thermal LWIR in pseudo °C according to <a href="https://support.micasense.com/hc/en-us/articles/360022446473-Converting-Altum-Thermal-to-degrees-C-after-processing-in-Agisoft-or-Pix4D">Micasense</a> empirical formula</li> <li>DEM</li> <li>Dense point cloud RGB</li> <li>Spectral indices calculated: NDVI, NDRE</li> <li>Agisoft Report</li> </ul> <p><strong>Acknowledgment:</strong></p> <p><strong>Frank Becker</strong></p> <p>Landesbetrieb Forst Brandenburg</p> <p>Landeskompetenzzentrum Forst Eberswalde (LFE)</p>
A high-throughput multispectral imaging system for museum specimens
Open the record for dataset details and reuse information.
MODID: Multispectral oral disease image dataset with segmentaion
Open the record for dataset details and reuse information.
Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice_image analysis
<p>This dataset contains the HE staining/anti-CD31 staining/ICG fluorescence images and the image quantification data produced for publication "Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice"</p>
Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice
<p>This dataset contains primary data produced for pulication named 'Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice'</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)
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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.