Articles tagged with Tomography
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.
The Komodo Dragon's teeth develop and replace rapidly, with up to five replacement teeth per position in its jaws. This allows it to quickly respond to prey capture or injury, making it an ideal model for studying theropod dinosaur life history and feeding strategies.
A research team led by Professor Yang Yong found that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain of up to 14% at room temperature. The discovery implies that oxidation in low-dimension metallic glass can result in unique properties for applications in sensors, medical devices, and othe...
Research reveals that a small subset of bacterial cells produces deadly toxins while sacrificing themselves for the benefit of their comrades. The bacteria use a temperature-sensitive genetic switch to synchronize toxin production with cell enlargement, ensuring an efficient strategy for infection.
The review discusses the optical aspects of QPAT, including mathematical models for light propagation and interaction with biological tissues. The authors outline two approaches to estimating chromophore concentrations from absorbed optical energy density data, highlighting the challenges associated with practical implementation, such ...
A new decision rule has been developed to identify patients who can safely forgo a head CT scan after falling, reducing unnecessary imaging and costs. The Falls Decision Rule can be applied to all older adults who have fallen, regardless of sustaining a head injury or recalling the fall.
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 describe the use of ripretinib and repeated surgical resection in a patient with recurrent GIST harboring a KIT exon 11 mutation. The treatment led to extended clinical benefit, outperforming current reported data from ripretinib clinical trials.
Researchers at Max Planck Institute of Molecular Physiology developed an innovative imaging technique to visualize the cardiac thick filament in its native environment. The resulting high-resolution image reveals new insights into the molecular organization and function of the sarcomere, a crucial component of heart muscle contraction.
Researchers at Northwestern University and Field Museum analyzed lunar crystals to determine the Moon's age, finding it to be approximately 4.46 billion years old, 40 million years older than previous estimates. This discovery sheds light on the Moon's formation and its impact on the Earth's planetary system.
Researchers used dynamic total-body PET scans to visualize immune T cell distribution in recovering patients. The study found increased concentrations of CD8+ T cells in the bone marrow of recovering COVID patients compared to healthy controls.
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.
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 at HZDR are developing a low-cost muon detector for non-destructive condition monitoring of industrial facilities. The detector aims to reduce costs and enable long-term monitoring, with potential applications in bridge inspection and nuclear waste management.
Researchers used cryo-electron tomography to study the dynein motor protein, revealing new details about how it generates force and coordinates with other proteins. This knowledge may help develop treatments for diseases related to cilia dysfunction, such as fertility issues and lung disease.
A University of Gothenburg study found that individuals who engaged in regular physical activity had smaller hemorrhages upon arrival at the hospital. Physically active patients experienced 50% less bleeding volume compared to inactive ones.
Researchers developed a virtual framework to investigate the effectiveness of optoacoustic tomography for breast cancer screening in people with darker skin. The results confirmed that tumors can be harder to locate in individuals with darker skin, highlighting the need to optimize imaging systems to mitigate racial bias.
A mobile application utilizing Python and a single-element ultrasound transducer has been developed for photoacoustic tomography (PAT) image reconstruction. The application successfully reconstructs high-quality images with signal-to-noise ratio values above 30 decibels, making it suitable for point-of-care diagnosis in low-resource se...
Researchers analyzed six sealed copper alloy animal coffins using neutron tomography, identifying bones, textiles, and lead fragments that shed light on ancient Egyptian mummification techniques and ritual purposes.
Dr. Erik K. Paulson, MD, chair of Duke University's radiology department, has been elected as the 123rd President of ARRS for a one-year term starting April 2023. He succeeds Gary J. Whitman, who served from 2022 to 2023.
Researchers observed lithium ions wandering within composite cathodes, revealing limitations in ion delivery that affect battery performance. The findings suggest a previously overlooked development bottleneck for solid-state battery development, highlighting the need to enhance ion transport within cathode composites.
Researchers developed a new reconstruction method for 3D imaging using integrated circuits, enabling non-destructive nanoscale imaging. The approach uses X-ray ptychographic tomography and deep learning to reduce acquisition time and improve fidelity, with potential applications in IC imaging, biology, and material science.
A new inverse rendering framework enables fast and efficient cloud tomography, allowing for accurate analysis of atmospheric dynamics and energy balance. The path recycling and sorting algorithm speeds up the process, overcoming computational limitations.
A cohort study of over 9,000 persons found that asymptomatic middle-aged individuals with subclinical coronary atherosclerosis are at an 8-fold increased risk for myocardial infarction. The study highlights the importance of identifying and addressing obstructive coronary artery disease in patients without known cardiovascular disease.
Researchers have developed a new method to encode single-cell tomograms using 3D Zernike polynomials, resulting in a data compression ratio of 22.9 and saving over 95% of space. The strategy is efficient on various experimental data types and can be applied to lab-on-a-chip systems.
A team of researchers at the University of Connecticut created freeform illuminators that enable flexible illumination design and calibration using a blood-coated sensor. The newly developed technology simplifies microscopy experiments by reducing size, increasing density, and adjusting angle of illumination.
A team from Chalmers University of Technology has developed a method to observe the formation of lithium microstructures in real-time using X-ray tomographic microscopy. This breakthrough aims to improve the safety and capacity of lithium metal batteries, which could replace traditional lithium-ion batteries in the future.
A new method for image reconstruction in electrical impedance tomography has been developed by Prof. DU Jiangfeng's team, enabling high-quality images without training data. This innovation provides crucial theoretical support for the application of electrical impedance tomography in various diseases.
Scientists used CT scans to analyze unopened expedition crates from the Tendaguru dinosaur site, revealing numerous dinosaur bones, including those of Dysalotosaurus lettowvorbecki. The images also provide a valuable testimony of the historic expedition and colonial context.
Researchers create advanced imaging-based method for studying mitochondria, enabling detailed mapping and measurement of structural changes. This technique has potential applications in understanding diseases such as Alzheimer’s, Parkinson’s, and cancers where mitochondrial function is disrupted.
A deep learning model distinguishes colon carcinoma from acute diverticulitis in CT images, improving diagnostic performance and reducing false-negative and false-positive findings. The model's sensitivity and specificity were significantly improved, supporting radiologists in patient care.
The Chan Zuckerberg Initiative grant will support advanced imaging training for over 2,000 scientists through a combination of hands-on events and online resources. Array tomography, an imaging technique that offers higher resolution and detailed molecular labeling, will be a key focus of the project.
Researchers compared zebrafish and medaka bones, finding medaka lacks bone cells but retains water-absorbing Proteoglycans. The study suggests a new explanation for why some bones respond better to stress than others.
Researchers developed a new epigenetic biomarker, GrimAge version 2, which leverages two DNAm-based estimators of plasma proteins to predict mortality risk. The study found that GrimAge 2 outperforms existing clinical biomarkers in predicting mortality across multiple racial/ethnic groups and associations with age-related conditions.
A team led by Abhinav Jha is developing a novel low-count quantitative single photon emission computed tomography (LC-QSPECT) method to measure the concentration of radiopharmaceutical material in tumors and vital organs. This technique aims to provide accurate measurements of absorbed dose from radiation therapy, helping plan treatmen...
A new machine learning fusion model has been developed to diagnose ovarian cancer more accurately by combining ultrasound and photoacoustic tomography imaging. The model achieved an accuracy of 90% in detecting ovarian lesions, outperforming previous methods.
A study explores the link between shark nose shape, size, and sensitivity of smell. The researchers found that more lamellae in rosettes with an elongated shape are associated with increased odor sensitivity.
A large-scale international study found that patients diagnosed with lung cancer at an early stage via CT screening have a 20-year survival rate of 80 percent. This is compared to the average five-year survival rate for all lung cancer patients, which is 18.6 percent.
Researchers observe atomic-level structural changes in bacterial ribosomes and their response to antibiotics, shedding light on mechanisms of action and potential off-target effects. The study provides new insights into the complex interactions between ribosomes and other cellular complexes.
Three pre-Columbian South American mummies found evidence of lethal trauma, with two males dying from extreme intentional violence. The study used 3D CT scans to examine the mummies and provide new insights into the rate of trauma and violent deaths in prehistoric human societies.
A study has found that pheasant meat can contain small fragments of toxic lead, which can be absorbed by the body and cause long-term harm. Researchers detected up to 10mg of tiny lead shards per pheasant, widely distributed within the bird's tissues.
Researchers use correlative tomography to analyze and verify the authenticity of shrunken heads (tsantsas) in museum collections. The study reveals new insights into these mysterious artifacts, shedding light on their origins and cultural significance.
Researchers analyzed data from trauma centers to determine if patients with seat belt injuries and negative CT scans can be safely discharged. The study found that some patients with abdominal bruising from a seat belt following a car crash may not need hospital admission.
Researchers developed an automated method to create 3D images of leaked gas clouds, enabling precise location, volume, and concentration determination. This technology can provide early leak warnings, assess risk, or determine the best way to fix leaks in large facilities with stored toxic chemicals.
Researchers used high-resolution micro-CT scans to reveal key features in Palaeospondylus fossils, placing it as an early ancestor of tetrapods. The study resolves long-standing evolutionary mysteries, including the lack of teeth and dermal bones in the fossil record.
A study by Kyoto University researchers reveals that human fetuses develop slower shoulder growth before birth, alleviating complications during delivery. This adaptation allows for a safer passage through the birth canal, reconciling the incompatibility between wide shoulders and narrow pelvis.
Researchers used X-ray computed microtomography to produce stunning 3D reconstructions of the proteus' head, revealing extensive changes in sensory organs and physical appearance. The study provides detailed information about evolutionary-designed adaptations for surviving in lightless caves.
A research team at KAIST developed a method for direct measurement of dielectric tensors in 3D anisotropic structures, overcoming previous limitations. This breakthrough enables the exploration of inaccessible nematic structures and interactions in non-equilibrium dynamics.
Researchers from Osaka University discovered a group of brain cells in the claustrum that control stress-induced anxiety behaviors. Activating these cells led to anxious behavior, while deactivating them increased resilience against chronic stress.
Researchers at KTH Royal Institute of Technology developed a technique to study lung disease in living mice without using mechanical ventilation. The method uses phase-contrast X-ray tomography to produce high-resolution images of the lungs, including even the smallest airways, with low radiation doses.
Researchers have developed a new approach to micro-computed tomography using phase contrast and high-brilliance x-ray radiation, enabling detailed analysis of microstructures and broad applications in medicine, biology, and material sciences.
Researchers at KAIST developed an AI-powered microscope that can image live cells in 3D without exogenous labeling agents, achieving high accuracy and speed. The 'AI microscope' uses deep learning to predict fluorescence images from holographic images, confirming its potential for various biological research.
Researchers used energy dispersive diffraction to create high-resolution 3D maps of bioapatite arrangements within shark centra, revealing key structures and their functions. The study provides insights into the structure-function relationship of the shark skeleton and could be applied to other organisms.
A novel 'virtual segmentation' method enables accurate visualization of microtomography imaging of Egyptian mummies. This technique helps researchers reconstruct detailed anatomical structures of ancient animals, shedding new light on their biology and evolution.
Heidelberg researchers have created a rapid process for 3D imaging of cells using soft X-ray tomography, enabling high-resolution images in just five to ten minutes. This technology provides valuable insights into viral diseases and their impact on infected cells.
A team of researchers found evidence that solar wind altered the chemical composition of ancient asteroid grains, producing water molecules and providing a possible source for Earth's oceans. The discovery could help future space missions find sources of water on airless worlds.
Researchers used a powerful X-ray technique to identify nanoparticles in the wood of King Henry VIII's favorite ship, the Mary Rose. The findings reveal previously undetected products that could cause damage to the historic vessel.
Optical coherence tomography (OCT) has significant growth potential across various medical applications, including cardiology and dermatology. Miniaturized OCT systems are expected to revolutionize healthcare with compact, mobile, and cost-effective devices.
Researchers at Helmholtz-Zentrum Berlin have achieved a new world record in materials research by using X-ray microscopy to create 1000 three-dimensional images per second. This allows for the non-destructive study of fast processes in materials, enabling researchers to gain insights into material properties and behavior.
Researchers have discovered a new technique to locate the diffusion wake's signal in the quark-gluon plasma, a subatomic soup that flowed like a friction-free fluid after the Big Bang. This breakthrough may help scientists understand how matter emerged from this perfect fluid.
Researchers from Skoltech and KU Leuven used machine learning to reconstruct 3D micro-CT images of fibrous materials, overcoming the difficulties faced by humans in analyzing these complex materials. The team employed GANs to fill a gap in available inpainting tools, enabling precise material analysis and simulation.