Articles tagged with Image Analysis
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A study led by Keck School of Medicine of USC used AI detection technology to analyze influencer content on TikTok between 2019 and 2022, finding an increase in posts that promote e-cigarettes. The prevalence of pod devices, e-juice flavor names, and nicotine warning labels increased significantly over time.
Scientists tracking Cadman Glacier's rapid retreat highlight the importance of long-term monitoring of Antarctica's polar regions. The glacier's ice shelf thinned due to warmer ocean waters, leading to a 28% increase in ice discharge over 13 months.
Scientists have developed a new method to investigate the deposition and impact of microplastics in soil, using neutron and X-ray tomography. The technique allows for the precise location of microplastic particles and analysis of changes to soil structure, shedding light on the environmental implications of microplastic pollution.
Researchers at Purdue University developed a new tool to visualize neural network decisions, making it easier to identify errors in image recognition. The tool uses graph-topological data analysis to provide a bird's-eye view of all images in a database, revealing areas where the network struggles to distinguish between classifications.
New research from the University of South Australia found that images are more effective at signaling product variety than colors, with only 56% of color choices matching customer expectations. The study analyzed consumer perceptions of 576 products and recommended using images to convey variety and protecting master brand colors.
Researchers have summarized recent advances in enzyme-activated near-infrared fluorescent probes for non-invasive visualization of enzyme dynamics and disease status. These probes offer high specificity, sensitivity, and biocompatibility, making them valuable assets in biomedical research and healthcare.
A new AI method combines satellite imaging and ecological analysis techniques to interpret large amounts of data from tumor tissue, providing insights into how cancer works. This approach aims to tailor cancer treatments to individual needs and avoid unnecessary side effects.
A team of researchers has developed a novel experimental system to simultaneously measure the mechanical properties and internal structure of rubber-like materials. The study found that strain within these materials is non-uniform, depending on the shape and size of composite particles.
A Northwestern University and University of Copenhagen study reveals that Greenland's thousands of peripheral glaciers have rapidly retreated over the past two decades. The research team combined satellite images with historical aerial photographs to document changes in over 1,000 glaciers over a century.
Researchers at Brigham and Women's Hospital analyzed data from over 7,500 patients to discover that suspected bronchiectasis in smokers is associated with a higher risk of mortality. The study suggests that lung imaging can help identify this condition, leading to improved patient care.
Researchers have developed AI tools that can effectively detect heart valve disease and predict cardiovascular risk using digital stethoscopes. A study found that AI-powered digital stethoscopes predicted nearly 90% of valve disease diagnoses, offering a promising tool for transforming CVD care.
Researchers at the University of Würzburg developed a new method to precisely analyze infection pathways of dangerous virus variants using 'clickable' pseudoviruses. These harmless impostors retain their activity and are highly fluorescent, allowing for better visualization of viral infections in living organisms.
The DGIST Academy-research integration research team developed a new technology that can analyze high-speed electrons within thin components in extreme environments. This achievement was made possible through the systematic establishment of academy-research integration programs, enabling significant outcomes to emerge.
A new deblurring algorithm has been developed to improve the resolution of microscopy images without amplifying noise. This breakthrough technique, called 'deblurring by pixel reassignment,' uses local gradients to sharpen images while preserving larger structures.
A new jet stream has been discovered in Jupiter's upper atmosphere by the James Webb Space Telescope, showing winds reaching speeds of up to 500 km/h. The discovery provides new insights into the atmospheric dynamics of gas giants and could shed light on global temperature variations.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
A Dartmouth study analyzing declassified Cold War satellite imagery identified 396 previously undocumented Roman forts across the northern Fertile Crescent. The forts were constructed from east to west, contradicting Father Antoine Poidebard's north-south axis claim and suggesting a more complex distribution along Rome's eastern frontier.
A community-developed set of guidelines aims to improve image publication standards, enhancing reproducibility in scientific research. The guidelines cover formatting, color handling, and annotation, providing a framework for scientists to follow.
Researchers discovered five types of macrophages in fat tissue, with one subtype promoting inflammation and another quelling it. The findings challenge the long-held assumption that pro-inflammatory macrophages are solely responsible for obesity-related inflammation.
Osaka University researchers created a radial-coded mask that replaces conventional masks, yielding sharp images at various distances. The optimized mask design extends the depth of field, enabling better focus on both foreground and background objects.
A new AI tool developed by Brazilian researchers can detect potentially cancerous lung nodules in CT reports, missing a crucial early diagnosis. The NLP tool achieved an accuracy rate of 97% in identifying suspicious nodules.
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
Researchers from the University of Tokyo have developed an AI-powered drone system that analyzes young plants to predict their expected growth characteristics. By identifying optimal harvest times, farmers can reduce waste and improve their income by up to 20.4%, while also benefiting consumers and the environment.
A new study explores how alpha-synuclein disrupts metabolic processes in neurons. Researchers used NanoSIMS imaging techniques to visualize isotopic variations and found changes in carbon turnover, suggesting increased metabolic demands on affected cells.
A new study found that faces against houseplant or bookcase backgrounds are perceived as more trustworthy and competent than those with other backgrounds. The research, published in PLOS ONE, suggests that videoconference users, particularly men, may benefit from using these background images to make a good impression.
Researchers found that participants preferred 60-70 options from ChatGPT, citing high perceived accuracy and increased intent to purchase. This contradicts traditional choice overload theories, highlighting the impact of personalized recommendations on consumer decision-making.
A new clinical and research partnership has created an AI model that can predict whether cancerous tissue has been fully removed from the body during breast cancer surgery. The model performed as well as humans in identifying positive margins, especially in patients with higher breast density.
Researchers developed MonoXiver, a new method to help AI extract 3D information from 2D images, making cameras more useful tools for emerging technologies. The method significantly improves accuracy when used in conjunction with existing techniques, such as MonoCon.
A recent study by the University of Toronto has found a significant link between food insecurity and muscle dysmorphia symptoms among adolescent and young adult Canadians. The research revealed that individuals experiencing food insecurity were more likely to suffer from symptoms of muscle dysmorphia, including functional impairment an...
A study comparing PI-RADS 2.0 and 2.1 found no significant differences in upgrade (29% vs. 22%) or downgrade (19% vs. 21%) rates from targeted biopsy to radical prostatectomy, suggesting no improvement in prostate cancer grade assessment with the latest PI-RADS update.
Researchers at U of A are developing an AI-powered system to analyze cardiac images, enabling clinicians to diagnose heart disease more accurately. The project aims to reduce healthcare costs and improve patient outcomes, with potential global implications.
Researchers at the University of Tokyo have developed a new technique to protect sensitive AI-based applications from attackers. By adding random noise to the inner layers of neural networks, they improved the resilience of these systems. This approach promotes greater adaptability and reduces susceptibility to simulated adversarial at...
Researchers at MIT and partners have discovered that variations in lithium ion flow rates are correlated with differences in carbon coating thickness, which could lead to improved battery efficiency. This technique allows for the extraction of insights from nanoscale data, offering potential applications beyond battery technology.
A new method of analyzing nanoscale X-ray movies reveals unprecedented insights into how lithium-ion batteries store and release charge. The study suggests ways to improve the efficiency of billions of nanoparticles in electrode materials, potentially leading to faster-charging batteries.
Researchers developed a new imaging technique using Bessel beam two-photon microscopy to detect stalling in brain capillaries, which can indicate acute neurological issues. The approach generates clear images of all capillaries every two seconds, providing better temporal resolution and enabling the detection of short stalling events.
A team at Aston University has demonstrated that benchtop spectrometers can analyse pyrolysis bio-oils with high accuracy, comparable to expensive high-field spectrometers. This breakthrough makes NMR analysis of pyrolysis oils more accessible and affordable.
Researchers at UC Davis have developed SparkMaster2, an open-source software that analyzes normal and abnormal calcium activity in human cells. The tool can identify calcium sparks associated with irregular heartbeats, or arrhythmia, enabling better understanding of the underlying biology.
A machine learning model has been developed to distinguish the composition ratio of solid mixtures of chemical compounds using only photographs. The model was trained on a small dataset and achieved accuracy roughly twice that of human experts.
A new study at BESSY II analyzed the formation of skyrmions in ferrimagnetic thin films of dysprosium and cobalt. The researchers directly observed Néel-type skyrmions using scanning transmission X-ray microscopy, revealing their domain wall type for the first time.
Researchers uncover charcoal drawings at Gua Sireh Cave, dating back to the 1600s and 1800s AD, depicting Indigenous resistance to frontier violence. The site's unique artwork sheds light on the region's complex history of colonization and territorial violence.
New research suggests the Bidayuh people of Borneo created rock art depicting resistance to frontier violence in the 1600s and 1800s. The cave's large human figures have been dated using direct radiocarbon ages, providing valuable insights into this period.
A Dartmouth-led study reveals the devastating impact of gold and mineral mining on tropical rivers worldwide. Mining operations have doubled suspended sediment concentrations at 80% of affected rivers, altering river ecosystems and threatening human health.
Researchers developed a deep-learning model to assess CXR images for probable COVID-19 severity. The model achieved an area under the receiver operating characteristic curve of 0.78 when predicting intensive care need within 24 hours.
A new study led by Brown University researchers provides unprecedented insights into the forces influencing Arctic sea ice motion. The analysis reveals how local tidal currents affect sea ice movement and highlights the crucial role of the seafloor in causing abrupt changes.
Researchers from Kyushu University discovered intentional cranial modification among the Hirota people on Tanegashima island, characterized by a flattened back of the skull. The practice, which predates written history, was likely used to signify group affiliation and preserve social status.
A study found that teenage smokers have less grey matter in their left frontal lobe, associated with decision-making and rule-breaking. This loss of grey matter may lead to increased impulsivity and a desire for smoking, as well as weaken control over nicotine use.
Researchers aim to create machine learning tools that can analyze and quantify shape information from images, enabling more accurate diagnoses and improving patient care. A new family of deep neural networks, called DSNNs, will be developed to tackle AI's blind spot in image analysis.
A team of researchers developed a novel method that leverages temporal characteristics of blood pulse to estimate heart rates with improved accuracy, especially in scenes with ambient light fluctuations. The proposed method showed a 36.5% improvement in estimation accuracy compared to conventional methods.
A randomized trial involving over 80,000 Swedish women found AI-supported mammography analysis to be as accurate as two breast radiologists working together in detecting breast cancer. The technology also reduced the screen-reading workload by nearly half without increasing false positives.
A commercial AI tool did not provide additional benefit to mammography with supplementary ultrasound in patients with dense breasts. Mammography with supplementary ultrasound showed higher accuracy, specificity, and lower recall rate compared to AI alone or combined with US.
A new geometric deep learning model called GFCN has been developed to detect stroke lesions in brain imaging scans. The model leverages rich geometric information to segment brain tissue and achieves higher segmentation performance than other neural network architectures.
Researchers developed a convolutional neural network to identify structures in cryo-X-Ray-microscopy data, achieving high accuracy within minutes. The AI-based analysis method enables faster evaluation of 3D X-ray data sets and has potential applications in studying cell responses to environmental influences.
Researchers from Edith Cowan University developed software to analyze bone density scans, detecting abdominal aortic calcification (AAC) at high accuracy. The AI can predict cardiovascular disease events and late-life dementia, allowing for early interventions.
A new AI approach has confirmed that the Maldivian government effectively enforced its ban on open trash burning and single-use plastics, eliminating toxic smoke plumes from satellite imagery. The tool, trained using transfer learning and image segmentation, achieved 88% accuracy in identifying plumes.
Researchers use portable devices to analyze paint composition and layering on ancient Egyptian paintings, revealing alterations made over time. Two paintings from the Theban Necropolis were studied, uncovering changes to a figure's arm and royal items depicted on a portrait of Ramesses II.
A new AI technology has been developed to generate artificial scientific data, allowing for faster and more efficient detection of material features. The AI uses generative adversarial networks to incorporate background noise and experimental imperfections into the generated data, making it virtually indistinguishable from real data.
Researchers developed a fast and convenient method called polarized imaging dynamic light scattering (PIDLS) to evaluate nanoparticle size, morphology and distributions. The method uses optical sphericity to describe the degree of deviation from spheres and provides statistical morphological distribution.
A groundbreaking study using ArchCUT3-D software analyzes ancient rock engravings, uncovering unique techniques and production procedures. The research sheds light on the craftsmanship, artistic expression, and cultural context of ancient cultures.
The IceCube Neutrino Observatory has produced an image of the Milky Way using neutrinos, revealing it is a neutrino desert. The observation suggests the galaxy produces significantly fewer high-energy neutrinos than distant galaxies.
The PETAL sensor patch measures five biomarkers to assess wound inflammation and infection, providing timely medical intervention. It is a low-cost, versatile, and customizable solution for holistic wound monitoring.