Articles tagged with Image Analysis
Astronomers found a dust-obscured quasar formed from a galaxy merger, revealing how mergers can power quasars and obscure them with dust. The study used ALMA to analyze the quasar WISE J224607.57?052635.0 and its companion galaxies.
A study by MIT researchers found that about one-third of Requests for Comments on Wikipedia go unresolved, citing factors such as poor initial arguments and excessive discussion. The researchers developed a machine-learning model to predict when RfCs may go stale, and recommended digital tools to improve deliberation and resolution.
Researchers analyzed da Vinci's artworks and found evidence of intermittent exotropia, a condition that enables monocular vision. This skill may have contributed to his ability to depict depth in his paintings.
Tropical Cyclone Luban is moving slowly towards Oman, expected to make landfall as a tropical storm before Oct. 14. The cyclone has strong winds and a ragged eye, but lacks thunderstorm development.
NASA captured images of Tropical Cyclone Titli before landfall using its Suomi NPP satellite, showing a large storm with strong thunderstorms surrounding its defined eye. The cyclone brought heavy rainfall and strong winds to parts of Andhra Pradesh and Odisha, causing at least 7 deaths.
Researchers at Osaka University have developed a technique to visualize the behavior of pesticides inside insect bodies, enabling them to follow their uptake, breakdown, and distribution. This method has potential applications for developing safer pesticides and reducing harm to beneficial pollinating insects.
Hurricane Norman rapidly intensified from 85 to 115 mph with Norman now a category 3 hurricane on the Saffir-Simpson scale. The center of the storm is located near latitude 19.5 degrees north and longitude 147.7 degrees west, moving towards the west-northwest.
Hurricane Miriam is tracking north through the Central Pacific Ocean, with cloud top temperatures reaching as cold as minus 80 degrees Fahrenheit. Rapid weakening is expected to begin later today and continue through Sunday, with Miriam becoming a post-tropical remnant low pressure area.
The Swiss Atrial Fibrillation Cohort Study found that 41% of atrial fibrillation patients had previously unknown brain damage, including cerebral infarcts, microbleeds, and lacunes. This brain damage may explain the association between dementia and atrial fibrillation in patients without prior stroke.
Tropical Storm Cimaron displays a unique infrared pattern resembling a 'Picasso-like' face, characterized by cold cloud top temperatures and strong thunderstorms. The storm is forecast to intensify until its peak on Aug. 22, posing a threat to south central Japan's landfall on Aug. 23.
Tropical Storm Lane is strengthening, with cloud top temperatures indicating strong thunderstorms capable of heavy rain. The storm's maximum sustained winds have increased to near 60 mph, and it is forecast to become a hurricane by tomorrow and potentially a major hurricane over the weekend.
Tropical Storm John weakened to a remnant low pressure area after moving over cool waters, indicating a loss of strength due to colder ocean temperatures. The storm's convection vanished, and it is now classified as a post-tropical cyclone, expected to dissipate in a couple of days.
Tropical Storm Yagi experienced strong vertical wind shear, which led to cloud top temperatures of -80°F (Celsius) and the potential for heavy rain. The storm is moving northeast at 35 knots (40 mph), expected to briefly intensify before weakening.
Tropical Depression 9E reached its peak strength on July 26, with cloud top temperatures as low as -70 degrees Fahrenheit. The storm was expected to move into the Central Pacific basin later in the day, bringing potential heavy rainfall.
Archaeologists used a new image-based analysis technique to identify previously hidden mounds in Beaufort County, SC. This method uses LiDAR and Object-Based Image Analysis (OBIA) to detect features of interest, improving knowledge of settlement patterns and past landscapes.
A recent study by the University of Seville has shed new light on the mysterious Abrigo de Matacabras cave paintings, dating back to the 4th millennium BC. The analysis suggests that this site was a significant cultural reference point for Neolithic populations in the region.
A team of scientists, led by Madalena Kozachuk, has recovered two previously hidden daguerreotype images from the National Gallery of Canada's photography research unit. The images, taken possibly as early as 1850, were damaged due to tarnish and other degradation, but were restored using synchrotron technology.
Researchers at the Royal Museums of Fine Arts of Belgium and the University of Liège used high-resolution photography, X-ray radiography imaging, and X-Ray Fluorescence spectroscopy to analyze a recovered quarter of the painting and propose a virtual colorization. The study found that the deepest blue layer in the painting is presumed ...
Researchers at Ruhr-Universität Bochum have developed a label-free method for rapid cancer diagnosis using infrared imaging, which can perform analysis in just a few minutes. The technique, combined with bioinformatical image analysis, shows promising results with 97% accuracy compared to traditional histopathological analyses.
A study estimates teledermoscopy would increase costs per case but achieve clinical resolutions faster, making it a potentially valuable tool for managing skin cancer in Australia. The analysis suggests this approach could improve the country's skin cancer management, particularly given its high melanoma incidence rate.
A team of researchers has successfully developed an imaging technique that can monitor the movement of atomic units at a high resolution of 300 nanometers. The technology is expected to be used in the development of new materials, solar cells, and catalysts.
Researchers used AI-powered image analysis to help diagnose GPI anchor deficiencies, a group of rare diseases affecting mental retardation and distinctive facial features. The study suggests that computer-aided evaluation of patient portraits can facilitate improved diagnosis and potentially be applied to other diseases.
Researchers used a combination of advanced imaging techniques to examine a second-century Egyptian painting, revealing details about the artist's materials and techniques. The study provided insights into fashions and artistic methods popular at the time.
Researchers used brain MRI to identify differences in brain regions among ADHD patients, distinguishing between subtypes with high accuracy. The study suggests that psychoradiology, a field combining imaging analysis and mental health expertise, could improve diagnosis and treatment planning.
A team of University of Illinois bioengineers has developed a new technique to characterize metal organic frameworks (MOFs) using infrared chemical imaging. This method allows for non-destructive analysis and provides detailed information on the structure and chemistry of MOFs, enabling better detection and utilization of these materials.
The DAWN trial demonstrated the efficacy of thrombectomy in reducing disability among stroke patients presenting within 6-24 hours, with a 48.6% independence rate at 90 days compared to 13.1%. Thrombectomy also showed benefits across various subgroups and time windows.
Researchers use angular correlations of scattered X-rays to determine the 3D structure of biological objects, overcoming limitations of traditional X-ray methods. The breakthrough enables scientists to study molecular structure and dynamics previously impossible to observe.
Tropical Storm Ramon has revealed powerful storms around its center through infrared data from NASA-NOAA's Suomi NPP satellite. The storm is moving west-northwest at 7 mph, with slight strengthening forecast over the next 48 hours.
Researchers developed moving subtrajectory analysis to study TCR microclusters, revealing kinetic and spatial details of CD3 and CD45 behavior. The study shows that the two molecules exhibit distinct mobility states, depending on their location relative to the microcluster, providing new insights into T cell activation mechanisms.
A study published in Frontiers analyzed traditional cuisines' flavor networks to develop a new principle behind cooking, called food-bridging. The research found regional clusters with distinct flavor patterns, and its mathematical representation, semi-metricity, may be applied to predict successful ingredient combinations.
Researchers at Osaka University have developed a technique for monitoring the health of dairy cattle using camera-based sensor technology and machine learning. The system can detect lameness in cows with high accuracy, allowing farmers to focus on health management and producing high-quality dairy products.
Researchers have developed a new technique to enhance low-quality brain scans, allowing for the analysis of hundreds of thousands of images. This enables large-scale studies of stroke outcome and other disorders such as Alzheimer's disease.
Researchers used AI to analyze medical imaging of 48 patients' chests, predicting which would die within five years with high accuracy. The study suggests that AI can recognize subtle patterns in images to predict medical outcomes, offering new hope for early disease detection and treatment.
Researchers used chemical maps to visualize original paint layers under overpainted surface of Ghent Altarpiece. The technique revealed the overall good condition of the original scenes, supporting the decision to remove all overpaints.
The Anthropocene Working Group addresses geological critics' concerns about a new epoch, emphasizing the presence of distinctive strata. The group's research highlights human-driven transformations with physical evidence, such as artificial radionuclides and plastics.
Researchers develop a pipeline to power fast and accurate image processing for precision medicine. The platform combines the imaging capabilities of Philips MRI scanners with the processing power of Stampede supercomputer.
Researchers have unlocked the mystery of why people see multiple images in Rorschach inkblots by analyzing fractal characteristics at the blots' edges. The team found that higher fractal dimension values produce more visual perceptions, with inkblots generating up to 300 differently perceived images.
A new research provides a mechanism to detect and correct systematic errors in data and image analysis used in many areas of science and engineering. The single-pixel interior filling function (SPIFF) method can improve the accuracy of imaging systems for tracking objects on scales ranging from nanometers to astrophysical scales.
A multidisciplinary team combines drones with infrared cameras to monitor animal populations, reducing costs and increasing access. The new technique uses thermal imaging to identify species, potentially aiding conservation efforts against poaching and habitat destruction.
Dual-energy computed tomography angiography (DECT) shows moderate diagnostic accuracy and improves image quality compared to conventional CT angiography. DECT also significantly reduces contrast medium dose without compromising image quality.
Researchers identified distinct changes in bone mineral content and area among midlife women transitioning through menopause, contradicting previous assumptions about bone expansion. The findings suggest that individual variability in bone structure can be used to identify women at risk of fractures far in advance.
Researchers at the University of Missouri developed new software TREND that can analyze series of images much faster and more accurately than ever before. This software resolves and tracks changes among images, enabling quicker analysis of complex data.
A study published in Medical Hypotheses found that female soccer players were more likely to close their eyes while heading the ball, increasing their risk of injury. Researchers suggest that vision training methods, such as improving eye discipline, may help mitigate concussion rates among women's soccer players.
Researchers at MIT's CSAIL have developed a new system that analyzes correspondences between images and spoken descriptions to train speech-recognition systems. The system can potentially provide automatic speech recognition for less-resourced languages, leading to fully automated translation capabilities.
A University of Texas at Austin-led study identifies funnel-shaped depressions on Mars with characteristics suitable for microbial life, including water, heat, and nutrients. The discoveries were made in the Hellas basin crater, where researchers believe volcanic or impact events may have created an environment conducive to life.
The new 'smart' light-sheet microscope analyzes a specimen continuously and adjusts its settings to optimize image quality. Researchers achieved improvements in spatial resolution and signal strength by a factor of 2 to 5, making it easier to produce high-quality images of larger specimens.
Researchers can now gather broad-scale ecological data using micro-unmanned aerial vehicles (UAVs), or drones, eliminating traditional pitfalls. Drones amass vegetation data for monitoring habitat restoration efforts, rare plant populations, and agriculture, providing large amounts of information with minimal effort.
A team of scientists from Michigan Technological University and other institutions has discovered a new mineral, merelaniite, with a complex structure composed of layers of molybdenum disulfide and lead sulfide. The discovery showcases the intricate microscopic beauty of exotic materials, which may have useful applications.
Researchers aim to produce advanced tools capable of analyzing images and video at high speeds, detecting subtle manipulations and determining the integrity of digital media. The system will also be able to analyze localized manipulations within an image and provide context-based analysis.
Researchers identified three distinct brain atrophy patterns associated with cognitive decline in Alzheimer's disease and mild cognitive impairment. The study found that these patterns, including cortical, temporal, and subcortical atrophy, can predict cognitive deficits and may allow for earlier diagnosis and treatment.
A multidisciplinary team from VIB-KU Leuven has developed a novel technique called QuASIMoDOH to analyze changes in cell membranes. The method can map out polar distributions, allowing researchers to study alterations caused by diseases like cancer and neurodegenerative disorders.
The Bellerophon Environment for Analysis of Materials (BEAM) platform unites imaging technologies with advanced data analytics and high-performance computing to accelerate materials discovery and design. This innovation enables near-real-time processing, analysis, and visualization of large experimental datasets.
Researchers at Case Western Reserve University have discovered that analyzing image features from adjacent benign tissues to tumor areas can provide an early warning for patients at higher risk of biochemical recurrence. This study may lead to doctors making decisions sooner about follow-up therapies or more regular monitoring.
Researchers at Linköping University found that common fMRI analysis methods produce false positives, leading to inflated false positive rates. The team's alternative method yielded more accurate results, reducing the false positive rate from 60% to 5%.
A researcher at the University of Houston is developing a new technique to map the cornea's structural integrity using high-resolution imaging and mechanical mapping. This emerging field, optical elastography, holds promise for early diagnosis and treatment of kerataconus, a progressive thinning of the cornea that affects about one in ...
A team of researchers led by Sridhar Mahadevan is applying deep learning methods to analyze large amounts of scientific data from Mars. They hope to develop a practical tool for handling vast amounts of data created by various scientific instruments, including the NASA Curiosity rover.
New imaging methods, including computer-assisted analysis of X-ray images and ultrasound imaging, show promise in detecting early stages of arthrosis. The methods could lead to targeted treatment and improved prediction of disease progression.
A study found that frequent social media use is associated with a greater risk of developing eating and body image concerns in young adults. Participants who spent more time on social media had a higher risk of reporting these issues. The research suggests that preventative messages should target a broad population.
New technology allows for detailed analysis of prostate shape changes after treatment, potentially providing prognostic information and early biomarkers. The study, published in PLOS ONE, involves eight patients and plans to expand to 40 more, tracking long-term outcomes.
A recent study by researchers at the University of Liverpool analyzed data from 157 ecstasy users and 148 controls to examine the effect of ecstasy on the brain. The study found significant reductions in serotonin transport in ecstasy users, which may contribute to cognitive deficits and mood changes.