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100 results for “hyperspectral images”
Hyperspectral Endoscopy Imaging for the Early Detection of Precancerous Lesions in Average Risk Patients
ClinicalTrials.gov study NCT04172493. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Application of Hyperspectral Imaging Analysis Technology in the Diagnosis of Colorectal Cancer Based on Colonoscopic Biopsy
ClinicalTrials.gov study NCT05576506. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Hyperspectral Imaging for Prediction of Preeclampsia
ClinicalTrials.gov study NCT07106294. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Intra-operative Hyperspectral Imaging in Neurosurgery
ClinicalTrials.gov study NCT05294185. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Tissue Characterization With Hyperspectral Imaging (HSI)
ClinicalTrials.gov study NCT04230603. IPD Sharing: NO. Countries: 1. Publications: 0.
Enhancing the Lucentis (Ranibizumab) Management of Choroidal Neovascular Membranes With Hyperspectral Imaging
ClinicalTrials.gov study NCT03105609. IPD Sharing: NO. Countries: 1. Publications: 0.
HyperSpectral Imaging in Low Grade Glioma
ClinicalTrials.gov study NCT04859725. IPD Sharing: NO. Countries: 1. Publications: 0.
Intraoperative Hyperspectral Imaging for Fluorescence Guided Surgery in Low Grade Gliomas
ClinicalTrials.gov study NCT05397574. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Hyperspectral Imaging for Neoplasm Early Stage Detection
ClinicalTrials.gov study NCT03483974. IPD Sharing: NO. Countries: 1. Publications: 0.
Investigation of the Use of Hyperspectral Imaging in Foot Surgery Patients
ClinicalTrials.gov study NCT03787862. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy.The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download.Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields.
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer ([CDL](https://nassgeodata.gmu.edu/CropScape/)) as reference data.GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment ([SAGE](https://nelson.wisc.edu/sage/)), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.
Fig. 4 a –c Bio-optical signatures from Hymedesmia paupertas. a in Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms
Fig. 4 a –c Bio-optical signatures from Hymedesmia paupertas. a Specific absorbance spectra of lactarazulene (pigment 7) detected with high performance liquid chromatography (HPLC) and LC-MS. The absorbance spectra of lactarazulene from LC-MS analyses has been scaled to 1 at highest OD(λ) for easier comparison. b Specific absorbance spectra of chlorophyll a, diatoxanthin and three unidentified pigments (pigment
Fig. 2 a, b Bio-optical signatures from B. viridis. a in Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms
Fig. 2 a, b Bio-optical signatures from B. viridis. a Specific absorbance spectra of neobonellin (pigment 1) detected from liquid chromatographymass spectroscopy (LC-MS) analysis of the spoon worm B. viridis. b Absorbance spectra in vivo OD(λ) and in vitro OD(λ) plotted against reflection spectra in vivo R(λ) from the hyperspectral imager (HI),
Fig. 5 a, b in Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms
Fig. 5 a, b Bio-optical signatures from Hymedesmia sp. a Specific absorbance spectra of tentatively identified pigments 14–16 and unidentified pigment 13 (Table 1) detected from LC-MS analysis. b The absorbance spectra in vivo OD(λ) and in vitro OD(λ) plotted against reflection spectra in vivo R(λ)) from the HI, illustrating that the OD(λ)
Study on the Application of Hyperspectral Imaging Technique in CTX Treatment of IMN
ClinicalTrials.gov study NCT05850845. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Study on the Application of Hyperspectral Imaging Technique in the Treatment of IMN by TAC
ClinicalTrials.gov study NCT05797038. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Application of Hyperspectral Imaging in the Diagnosis of Glomerular Diseases
ClinicalTrials.gov study NCT05797051. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Intraoperative Hyperspectral Imaging for Laparoscopic Surgery
ClinicalTrials.gov study NCT06700317. IPD Sharing: NO. Countries: 0. Publications: 0.
An automated approach for fringe frequency estimation and removal in infrared spectroscopy and hyperspectral imaging of biological samples
<p>Infrared microspectroscopy; absorbance spectra of Quercus pollen grains embedded in paraffin. </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
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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.