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.
Researchers have developed a cloud-based platform called ZeroCostDL4Mic that uses artificial intelligence to analyze microscopy images, improving image quality and detecting features such as tumors in biopsy samples. The platform is freely available online and requires no coding expertise, making it accessible to non-experts.
Smartphone-based imaging systems can guide diagnosis and treatment with portable, user-friendly biomedical imaging. Emerging technologies like multispectral and quantitative fluorescence imaging offer promising diagnostic applications.
A new toolkit developed by researchers at the University of Houston, in collaboration with the National Institutes of Health, enables rapid drug development for brain diseases and injuries. The toolkit uses high-resolution imaging to analyze unhealthy brain tissue, revealing multiple biological processes at once.
A study at the University of Helsinki uses machine learning to analyze bone marrow samples and identify genetic mutations associated with myelodysplastic syndrome (MDS). The technique provides new insights into disease progression and can help assess and diagnose hematological malignancies.
A large-scale study found that the introduction of RADLogics' AI-Powered solution into radiology workflow reduced report turnaround time by an average of 30 percent, equivalent to 7 minutes per case. The study also showed a significant improvement in productivity and report accuracy.
Researchers introduce a novel algorithm to estimate speed and angle of rotating objects in space, then apply these estimates to develop high-resolution images. The method achieves improved resolution without being heavily affected by atmospheric fluctuations.
GraphIt, a state-of-the-art graph programming language, has been extended to run on graphics processing units (GPUs), enabling faster graph analysis. This advance accelerates graph algorithms, particularly those that benefit from parallelism, such as recommendation algorithms and internet search functions.
Researchers have uncovered evidence of what may be the earliest-known use of symbols, dating back to around 120,000 years ago. The discovery was made on a bone fragment in central Israel and features six similar etchings that are believed to hold symbolic or spiritual significance.
Researchers found that aging leads to increased intrinsic ignition and decreased metastability in the whole-brain functional network. This suggests a deficiency in efficient global communication in the brain, contributing to cognitive decline.
Researchers from Kumamoto University have developed a highly sensitive method to evaluate cytoskeleton organization from microscopic images. The new technique uses computer simulations and image analysis to accurately measure bundle states, even in unclear images.
A scanning transmission X-ray microscope for lithium analysis has been developed, enabling the study of chemical states and behaviors with high spatial resolution. The microscope uses a low-pass filtering zone plate to suppress higher-order harmonics, allowing for accurate measurement of XAS spectra.
A study investigated the correlation between ADC parameters, Ki-67 expression, and clinical outcomes in PCNSL patients. In immunocompetent patients, ADC histogram analysis predicted tumor proliferation and survival. However, in HIV-positive patients, ADC values showed limited utility in predicting clinical outcomes.
The journal features papers on AI in medicine, including new roles for clinicians and AI-aided disease prediction. It also covers the development of chest imaging analysis methods for COVID-19 diagnosis.
Researchers pooled data from multiple sites to visualize neuroinflammation in ALS patients, enhancing detection and developing drugs. The study used two second-generation translator protein tracers and found improved power to detect inflammation compared to individual site data alone.
The article reviews AI-assisted chest imaging analysis methods for COVID-19 diagnosis, demonstrating the potential of deep learning-based techniques. Establishing a database for public research and extracting lesions accurately are crucial to improve performance.
A University of Georgia researcher used computer vision to analyze thousands of images from over 100 Instagram accounts of United States politicians, discovering that posts featuring politicians' faces in non-political settings attract more likes and comments. The study found that images with only the politician's face or in personal s...
A novel method for automated pollen analysis has been developed by combining imaging flow cytometry with deep learning, allowing for accurate species identification and quantitative findings in just 20 minutes. The new tool was tested on 35 plant species and achieved an accuracy rate of 96%, outperforming traditional microscopy methods.
Experts have documented and analyzed hitherto unknown details in the muqarnas of the Lions' Courtyard at the Alhambra, revealing a different configuration and number of pieces between the two temples. The research also detected geometric deformations due to centuries-old repairs.
Researchers are combining different types of brain imaging data to capture patterns indicative of brain disorders. The goal is to develop a compact framework to map brain disorders, providing a signature that tells us how mental illnesses impact the brain.
Chemical imaging modalities have helped reveal the Eyckian Lamb of God's hidden facial features, including v-shaped nostrils and forward-gazing eyes. A smaller, more naturalistically shaped body with a sagging back and rounded hindquarters has also been discovered, suggesting revisions to the original design.
Researchers at Ruhr-University Bochum developed a new method for efficiently identifying deep-fake images by analyzing objects in the frequency domain. The study found that images generated by GANs exhibit artefacts in the high-frequency range, which can be used to distinguish them from real photos.
Researchers have developed a new method to analyze microscopic samples without using external light, reducing interference and damage to living specimens. The 'glow in the dark' approach uses chemical stimuli to activate chemicals, enabling precise control over localized oxidative hotspots.
A team has devised deep-learning and other computational approaches that dramatically reduce image-analysis time by orders of magnitude. They report their results in Nature Biotechnology, accelerating image analysis in three major ways: deconvolution, 3D registration, and complex deconvolution.
Rice University scientists developed an easy and affordable tool to count and characterize nanoparticles using the open-source SEMseg program. The tool simplifies nanoparticle analysis by extracting pixel-level data from low-contrast SEM images and recombining it into sharp images.
KAIST researchers developed an algorithm for automated 3D brain imaging data analysis, enabling precise and quantitative mapping of complex neural circuits. The new technology allows for accurate comparison of brain data from different animals and improves the accuracy and consistency of analysis results.
Researchers have developed a new imaging analysis pipeline called LaMDA, which enables machine learning and complex analyses on high-dimensional microscopy data. This can reveal and predict T-cellular states, providing valuable insights for drug testing, vaccine development, and expanding knowledge of T-cell biology.
The U.S. Army Research Laboratory has developed a novel parallel computing framework, GPOP, to process large graphs and data efficiently, making it ideal for DOD security analysis and applications such as terrorist-tracking and bioinformatics.
A team of scientists has developed a system utilizing image analysis and artificial intelligence to analyze the shape of large numbers of seeds from a single image. The trained model detected and segmented individual seeds with high accuracy and analyzed seeds of other crops, accelerating crop breeding and analysis.
A Brazilian research group uses VideometerLab, a multispectral imaging instrument, to analyze pupae and detect dead or empty insects. The device provides precise data on sample quality, improving the efficiency of biological control.
Researchers Juliette Shedd and Sheherazade R. Jafari are developing a graduate-level conflict resolution training course for Burma Leadership Activity scholars. The five-year project aims to improve technical competencies and leadership among participants, promoting respect for ethnic and religious diversity.
A new AI algorithm developed by researchers can analyze retinal images to predict which patients with diabetic macular edema are likely to respond to anti-VEGF therapy. The algorithm achieved an 87% accuracy rate in predicting treatment response, offering a potential breakthrough in personalized medicine.
A study analyzing 190 fMRI studies found that food and erotic images activate the left hemisphere, while money activates both hemispheres. The basal ganglia play a key role in reward processing, with different regions activated depending on the type of reward.
Susan Allen received $10,000 from GMU Foundation for her research at the Center for Peacemaking Practice. The funding supports her work on conflict resolution and peacemaking practice.
Tropical Storm 06A is maintaining its strength in the Arabian Sea, with powerful storms indicating heavy rainfall potential. The storm is expected to make landfall in east central Somalia late on Dec. 6.
Researchers reestimated China's inland waterbodies using satellite images from 1984-2015, finding a 0.2-1.5 times increase in surface area and 0.3-1.5 times higher numbers of larger waterbodies than previous estimates.
Scientists from Skoltech ADASE lab have developed a method to enhance depth map resolution, enabling more realistic virtual reality and computer graphics. The new approach leverages human perception to assess reconstruction quality, outperforming existing methods in visual quality.
Claudio Silva was inducted into the inaugural cohort of the IEEE Visualization Academy for his seminal contributions to point-based modeling and surface reconstruction. He is a highly respected researcher with numerous publications and patents, including those related to VisTrails and urban data visualization.
A KAIST research team developed an advanced system to automatically analyze visual information in films and quantify gender bias. The study found that female characters are often depicted in passive emotions and surrounded by specific objects, promoting public awareness of the importance of prudence when creating characters.
Masashi Watanabe, a Lehigh University professor, is recognized by the Microanalysis Society for his research on materials characterization using various electron microscopy approaches. He has developed innovative techniques such as the zeta-factor method and multivariate statistical analysis.
QUT researchers have developed a new method for analysing Optical Coherence Tomography (OCT) images using deep learning techniques to detect and track eye diseases such as glaucoma and macular degeneration. The team's findings show that their program is reliable and more accurate than standard image analysis methods.
NASA's Terra satellite revealed the strongest thunderstorms in Tropical Storm 14W were located east of the center, fueled by extremely cold cloud top temperatures. The storm is moving westward and is expected to intensify to 90 knots over the next five days.
Tropical Storm 14W strengthened into a powerful system due to strong thunderstorms fueled by infrared data from NASA's Aqua satellite. The storm's intense cloud top temperatures indicate potential for heavy rainfall, with winds near 40 mph and expected to intensify over the next five days.
The study analyzed 135 million imaging examinations among 16-21 million patients in the US and Canada, finding increased medical imaging rates among adults but declining nuclear medicine use. Imaging rates continued to rise among children except for CT, which declined since 2006.
NASA's Terra satellite detected scattered cold clouds in Hurricane Henriette, indicating a weakening system. The storm's cloud top temperatures reached as low as -50 degrees Fahrenheit, further supporting its decline.
Researchers developed a simplified new mass spectrometric technique using a continuous wave laser and graphene substrate to analyze bio samples without sample preparation. This technology can obtain high-resolution images and secure enough heat needed for specimen analysis with small amount of light generated by the continuous wave laser.
A new standard, BIDS, allows researchers to compare and combine studies in an apples-to-apples way. This enables the sharing and analysis of large brain imaging datasets, improving the field's ability to understand brain function.
Tropical Storm Francisco is expected to bring heavy rainfall to southern Japan as it approaches landfall. The strongest storms have cloud top temperatures as cold as minus 70 degrees Fahrenheit, indicating strong potential for heavy rainfall.
Tropical Storm Wipha formed quickly in the South China Sea, with NASA's Aqua satellite detecting strong thunderstorms and cold cloud top temperatures. The storm is expected to move northwest towards southern China, making landfall near Hanoi, Vietnam.
NASA's Terra satellite reveals two areas of intense storms in Tropical Storm Nari, with cloud top temperatures as low as minus 50 degrees Fahrenheit. The storm is moving northward toward Japan, expected to make landfall and then dissipate over cooler waters.
NASA's Aqua satellite detected a small area of strong thunderstorms with cold cloud top temperatures, enough to maintain Tropical Depression Dalila's tropical cyclone classification. The depression is forecasted to weaken and become a post-tropical remnant low in the coming days.
The switch from 2D to 3D cell cultures in drug discovery improves the accuracy of human physiological conditions and increases the success rates of drugs. High-content analysis with 3D cell cultures is expected to increase the quality of compounds progressing to preclinical stages.
A new system uses a single labeled scan and unlabeled scans to automatically generate a large dataset of distinct training examples. The system's approach learns anatomical, brightness, and contrast variations from unlabeled scans to synthesize realistic and accurately labeled scans.
The discovery of rare marine fossil specimens in northern Portugal has provided a more detailed picture of biodiversity during the Middle Ordovician period. Soft-bodied specimens have filled a gap in understanding evolution during this time, suggesting that many soft-bodied fossils remain to be discovered.
The article discusses the practical clinical applications of cardiac computed tomography-derived fractional flow reserve (FFR-CT) in evaluating coronary artery disease (CAD). FFR-CT analysis may help reduce additive functional testing for patients with intermediate stenosis, providing a more efficient and accurate assessment of CAD.
Researchers have developed a simple method called chronoprinting that can detect counterfeit medicines and food products. By analyzing how samples change over time, chronoprinting uses image analysis algorithms to distinguish pure from adulterated substances.
The Chan Zuckerberg Initiative is funding open-source software projects to improve image analysis and visualization in biomedicine. The projects will focus on developing and maintaining tools such as scikit-image, ImageJ, and CellProfiler to accelerate basic research and benefit the entire field.
Using deep convolutional neural networks, Yale researchers predicted where people's eyes will look when viewing complex natural scenes. This advance in understanding the human visual system has numerous applications, including improving artificial intelligence efforts such as driverless car development.
Holistic thinkers exhibited similar brain activity when watching a dramatic film, whereas analytical thinkers showed distinct responses. The study suggests that holistic thinkers perceive the world in a more integrated way, processing moral issues and factual connections similarly with each other.
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.