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.
FathomVerse combines real underwater images, interactive gameplay, and AI training to improve ocean research. The game engages players in labeling images for machine learning models, contributing to a broader audience in ocean exploration.
A new remote sensing method captures details of hurricane Ian's aftermath, identifying 2,427 structures impacted by the storm. The study found that most damaged structures were single-family and multi-unit residences, with a total assessed value of over $200 million.
Researchers develop laser microscopy technique to analyze pigments in artwork, detecting chemical changes that mark the onset of decay. The technique uses ultra-fast pulses of light to create 3D maps of certain pigments, allowing for nondestructive analysis and early detection of fading.
Researchers have analyzed over a thousand images of snow to study its optical properties. The findings show promise in improving avalanche safety and autonomous car technology, but more data is needed.
A computer vision researcher has developed privacy software for surveillance videos that obscures identifiable information such as faces and clothing in real-time. The software, funded by the National Science Foundation's Accelerating Research Translation program, aims to balance surveillance needs with privacy concerns.
A new study from the University of Illinois explores the use of hyperspectral imaging and explainable artificial intelligence to assess sweet potato attributes, leading to more informed decision-making and higher-quality products. The results can help industry professionals understand the significance of different features in predictin...
Using AI software called SLEAP, scientists at Salk Institute are designing climate-saving plants with optimized root systems that can store more carbon. This approach enables researchers to analyze plant features and connect desirable traits to targetable genes, accelerating the development of carbon-capturing plants.
A new AI model generates realistic images of single cells, which are used as synthetic data to train an AI model for better cell segmentation. The researchers found that providing a more diverse dataset during training improves performance.
Researchers found that watching sports fosters a sense of community and belonging, while triggering activation in the brain's reward circuits. Regular sports viewing may also induce changes in brain structures, leading to long-term benefits for individuals.
Researchers develop AI-assisted algorithm to analyze surgical videos of cataract surgeries in Global South, aiming to improve surgical outcomes and training. The algorithm can work with conventional image material and smartphone videos, addressing the need for resource-saving solutions in these countries.
A research team has made a significant breakthrough in understanding the GPR156 receptor protein's role in maintaining auditory function. The study reveals that GPR156 exhibits sustained activity even without external stimuli, highlighting its potential as a target for treating congenital hearing impairments.
The DISCount framework combines AI-powered image analysis with human analysis to quickly deliver reliable estimates of building damage and bird flock size. It has been recognized by the Association for the Advancement of Artificial Intelligence for its social impact, winning an award for best paper on AI for social impact.
Researchers from the University of Houston used spaceborne-monitoring to detect movements and deformations in the Kakhovka Dam years before its collapse. The study highlights the importance of proactive monitoring and remote sensing in ensuring infrastructure safety and integrity.
Researchers developed an AI model to detect viable tumor cells in osteosarcoma patients, improving prognosis predictions. The model showed comparable detection performance to pathologists and reduced inter-assessor variability, enabling timely assessment.
Researchers have introduced a refined method for analyzing brain signals, providing a more detailed understanding of the brain's complex activity. This enhancement enables scientists to better understand how brain activity correlates with different tasks and behaviors.
A new study published in Stroke found that exposure to artificial, bright outdoor nighttime light may increase the risk of cerebrovascular disease and stroke. The research, which analyzed data from over 28,000 adults living in China, suggests that higher levels of outdoor light pollution at night may be a risk factor for these conditions.
A team of researchers has developed the world's first 3D-printed brain phantom, which can be imaged using dMRI. The brain model is made up of microchannels that mimic nerve cells in the brain, allowing for more accurate analysis and research into neurodegenerative diseases.
Scientists at Karolinska Institutet and Stockholm University have mapped the cellular architecture of MS lesions using advanced methodology. This reveals how immune cells and glial cells interact in the disease.
A mobile app using AI analyzes images of suspected skin lesions and provides guidance on whether they are melanoma or not. The app was tested in primary care and showed promising results, accurately diagnosing melanoma in all cases and determining harmless lesions with a high probability.
A new AI model, called Lars, can accurately detect signs of lymph node cancer in 90% of cases, reducing workload for radiologists and increasing access to healthcare. The model was developed using a large dataset of over 17,000 images from 5,000 patients and is based on deep learning technology.
The T2oFu method offers a new approach to quantitative phase and polarization-sensitive tomography, enabling high-contrast images of muscle fibers with implications for diagnosing skeletal myopathies. The technique has been successfully tested on heart tissue samples with cardiac amyloidosis, providing promising results.
Research using historical satellite images shows that methane emissions in Turkmenistan increased following the Soviet Union's collapse, contradicting previous theories. This finding suggests that economic decline led to reduced oversight and more deliberate off-gassing of methane from oil and gas wells.
A novel path choice model elucidates the influence of different attributes on pedestrians' local and global path choices. The study reveals that pedestrians locally perceive and react to environmental attributes like green views, guiding urban planning decisions.
Researchers developed a new approach to root phenotyping using convolutional neural networks, enabling automated total root length estimation from minirhizotron images. The method demonstrates high accuracy and robustness in capturing root growth patterns, offering significant promise for precision agriculture practices.
Researchers found that mental representations, as seen in children's and adults' drawings, influence calculation strategies for solving simple arithmetic problems. The study reveals that certain drawing typologies are associated with effective calculation strategies, regardless of age or experience. This discovery opens up new perspect...
Researchers at UNIST have developed a method to measure nanometer-sized samples within a transmission electron microscope, utilizing nano-thermometers based on cathodoluminescence spectroscopy. The technique offers improved accuracy and spatial resolution compared to conventional methods.
New research combines images with computer-enabled analysis to tackle biological questions globally. Imageomics aims to improve image classification and analysis using machine learning and computer vision, enabling faster scientific discoveries.
A team of UCF scientists used the James Webb Space Telescope to analyze the elemental composition of a binary duo in the Kuiper Belt, revealing clues about Neptune's formation. The study provides valuable insights into the dynamical history of Neptune and its neighboring objects.
Researchers from OIST used X-ray micro-CT to study a 38 million-year-old termite pair trapped in amber, revealing a male and female in tandem running behavior. The discovery provides new insights into the fidelity of behavior fossilization in amber.
Researchers studied Prorocentrum cordatum to understand its molecular processes, revealing a unique photosynthetic machinery that may help it adapt to changing light conditions. The findings could lead to improved understanding of harmful algal blooms and their role in climate change.
A KAIST team developed an insect-mimicking semiconductor that mimics the optic nerve of insects to detect motion. The device operates at high efficiency and ultra-high speeds, and has been applied to a neuromorphic computing system for predicting vehicle paths. It achieved 92.9% less energy consumption compared to existing technology.
A recent study by Pusan National University scientists discovered the crucial role of PKM gene and EPHA2 pathway in HNSCC development. The research highlights the importance of HPV infection status in shaping the tumor microenvironment, enabling precision medicine for targeted treatment.
A research group at Chuo University developed a novel non-destructive inspection technique combining multi-functional photo monitoring devices with image data-driven three-dimensional restoration methods. The technique precisely evaluates target objects by compositional identifications and structural reconstructions, providing a breakt...
Researchers decode underlying mechanisms of DCM, hippocampal neurotoxicity, and dysbiosis mediated AD progression using mass spectrometry imaging. The studies found metabolic changes in DCM rat hearts and regulation of CYPs in the hippocampus, providing new perspectives on treatment strategies.
Researchers have developed a novel 'nano active control platform' to control excitons and trions, providing valuable insights into the optical properties of two-dimensional semiconductors. The breakthrough discovery enables real-time analysis of nano-light properties with exceptional spatial resolution.
Researchers used high-resolution techniques to analyze organic material from the early Earth, shedding light on the formation and composition of ancient biomass. The study found evidence of biological origin in microscopically small particles, suggesting a turbulent history of sediment deposits.
Researchers developed a toolkit to translate neuroimaging data into audiovisual representations, enabling scientists to explore brain activity patterns in real time. The tool uses piano sounds for neural activity and violin sounds for blood flow, allowing viewers to discern coupled relationships between the two.
A study published in Global Change Biology found that low deep-water oxygen concentrations lead to increased algae growth and further oxygen declines. This positive feedback cycle can result in frequent algal blooms, disrupting lake ecosystems and human health.
Researchers have confirmed a new method for precise body composition analysis using 3D surface scans and dual-energy X-ray absorptiometry. This approach yields accurate measurements of fat, lean muscle, and bone, surpassing commercial software in clinical settings.
The commercial space sector has seen significant growth, with over 2,660 satellites launched into orbit in recent years. International collaborations are also expanding, enabling diverse perspectives and new ideas to emerge in science and space exploration.
A comprehensive online tool, Metrics Reloaded, has been developed to select suitable metrics for AI-assisted image analysis. The tool helps physicians and scientists identify relevant variables for their specific task, increasing understanding of key problems in AI-assisted image analysis.
Researchers at Aston University have discovered that aging skin exhibits distinct optical properties under polarised laser light. This finding could lead to the development of non-invasive light-based techniques for early detection and monitoring of skin conditions, including cancer.
A new tumor spatial mapping tool will help clinicians assess the aggressiveness of cancer and personalize treatment. The tool maps the functional state of oncoproteins onto tumour images, allowing for more accurate diagnosis and informed treatment decisions.
A study found that white actors are still overrepresented on American film posters, with Black and Asian actors gaining ground in recent years. The research suggests that non-white actors tend to appear in minor roles or films related to their ethnicity.
Researchers at the University of São Paulo found evidence of a tropical island with rich mineral deposits, including cobalt and nickel, in the South Atlantic Ocean. The team's analysis of seafloor sediment samples suggests the area was once home to vegetation and had volcanic activity between 30-40 million years ago.
A Brazilian study developed a method using AI to identify crop-livestock integration areas from satellite images. The approach can benefit agriculture by optimizing land use, diversifying farming activities, and encouraging sustainable practices.
Researchers developed a novel deep learning method to study crystal structure and molecular interactions of perchlorate salts. The analysis revealed that the explosives' nature is linked to chemical bonding and intermolecular interactions.
Focused ion beam technology has numerous applications in material processing, microelectronics, and life sciences. The instrument uses a finely focused ion beam for nanoscale analysis, prototype creation, and material modification.
A team of researchers, led by Jordan Crowell and Stephen Chester, used modern CT scan technology to analyze the only known preserved picrodontid skull, revealing that they are not closely related to primates. The study highlights the importance of revisiting old specimens with updated techniques to examine them.
Researchers developed an AI system that analyzed video recordings from therapy sessions with patients with borderline personality pathology. The system accurately detected the emotional states of patients, including fleeting micro-expressions. It also identified a predictor for therapy success: 'social' smiling at the start of a session.
A computer vision system developed by University of Malaga engineers estimates vehicle speeds in real time using a single camera, reducing complexity and costs. The algorithm, published in Neurocomputing, aims to improve vehicle safety and has potential applications in autonomous driving and driver assistance.
ICFO researchers observed a light-induced increase and control of conductivity in graphite by manipulating its many-body state, showing signatures of superconductivity. The study uses attosecond soft-X-ray pulses to probe electronic dynamics, providing new insights into material properties and quantum states.
A recent study published in Annals of the New York Academy of Sciences found that AI technology can accurately identify prehistoric and modern African antelopes, with an accuracy rate of over 90% compared to humans. This breakthrough sheds light on ancient ecosystems and their impact on human evolution.
A new study published in the Journal of Health Communication found that news sites, especially UK and US sources, continue to use stigmatizing images when reporting on obesity. The research highlights the need for news media to be mindful of the images included in health news articles.
Researchers developed a suite of free tools for analyzing vast amounts of brain dissection photographs, enabling the extraction and integration of quantitative information. The tools allow for the reconstruction of 3D brain images from biobank photos, providing valuable insights into neurodegenerative diseases.
A new study published in Geophysical Research Letters sheds light on methane emissions from Arctic lakes and wetlands. Researchers found that small, unmapped lakes contribute only about 3% of the region's methane emissions, significantly reducing the cumulative amount previously thought to be emitted.
The Tokyo University of Science team has created a device that enables the simultaneous evaluation of many cancer cells, allowing for rapid and accurate analysis. The system, called cROT, increases throughput to 2,700 cells per hour, making it more than 100 times faster than traditional methods.
A new method predicts biomolecular structure placement on AFM substrates based on electrostatic interactions, improving understanding of biological processes at the nanoscale. The method provides remarkable agreement with previous experimental results and can be applied for post-experimental analysis.
A new AI-powered satellite analysis technique reveals the economic conditions of regions with limited data, such as North Korea. The approach combines human input with machine learning to provide detailed economic maps and monitor progress towards Sustainable Development Goals.
Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.