Articles tagged with High Resolution Imaging
A new approach to brain imaging has been developed that allows for the observation of brain structures and functions without removing any part of the skull. This technique, called Through-Intact-Skull (TIS) window, enables continuous cortical monitoring at high resolution and on a centimetre-scale.
Researchers developed a high-resolution holographic endoscope system that can reconstruct microscopic images without attaching equipment to the fiber bundle. The new endoscope has a diameter of 350 μm and achieves spatial resolution of 850 nm, far smaller than the core size of optical fibers.
A team of scientists developed RASTMIN, a method that achieves equivalent resolution to MINFLUX but can be implemented in standard confocal microscopes. RASTMIN enables nanometre resolution and can be used with existing laser-scanning microscopes.
A MedUni Vienna study has identified retinal layer thinning as a reliable prognostic marker for multiple sclerosis severity. The analysis revealed that thinner retinas are associated with increased risk of permanent disability and more aggressive treatment is recommended.
A new AI-based dynamic brain imaging technology has been introduced by Carnegie Mellon University, which can map out rapidly changing electrical activity in the brain with high precision and speed. The technology uses deep learning approaches to translate scalp EEG signals back to neural circuit activity without human intervention.
The new ultrasound sticker uses a stretchy adhesive layer and rigid array of transducers to produce higher resolution images over a longer duration. It has potential applications in clinical diagnosis and could be made into wearable imaging products that patients can take home or buy at a pharmacy.
Researchers have developed a groundbreaking 'toolbox' to study receptor mobility in the brain, revealing its critical role in certain types of memory. The study used high-resolution imaging and manipulation techniques to observe receptor dynamics in intact brain tissue, providing new insights into the mechanisms controlling memory.
Researchers have developed a new method to generate flexible needle-shaped laser beams, extending the depth-of-focus for optical coherence tomography (OCT) imaging. This allows for improved lateral resolution, signal-to-noise ratio, contrast, and image quality over a long depth range.
Gwangju Institute of Science and Technology researchers have developed a rabbit-scale three-dimensional magnetic particle imaging system that can scan large volumes at high resolution. The system uses amplitude modulation to minimize peripheral nerve stimulation while maintaining high image quality.
Researchers develop a new technique that uses quantum-inspired interferometry to capture high-resolution 3D images with micron-scale resolution, potentially useful for facial recognition and tracking applications. The approach overcomes limitations of conventional lidar by reducing light loss and enhancing depth resolution.
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.
A new analysis method reveals that the original SARS-CoV-2 viral strain used a sugar binding feature to infect human cells, which was later lost in variants. This discovery raises questions about the origins of the virus and its transmission to humans.
A HKUST research team developed a microscope combining 3PM with adaptive optics, achieving high-resolution imaging of neuronal structures in mouse cortices up to 750µm below the skull. This technology holds great potential to advance in-vivo imaging techniques and facilitate study of living brain.
A team from KAUST has developed a low-cost system for imaging plant growth dynamics noninvasively and at high throughput. The Mutiple XL ab system combines computer vision and pattern recognition technologies with machine learning to analyze and quantify root growth dynamics.
Scientists create genetically engineered mouse model that changes color in response to light, allowing them to isolate background noise from blood flow and enhance imaging techniques. This breakthrough enables researchers to observe internal physiology with unprecedented accuracy, paving the way for new treatments and therapies.
The Hubble Space Telescope has released the largest near-infrared image ever taken, allowing researchers to map star-forming regions and understand how the earliest galaxies originated. This high-resolution survey will enable the identification of rare objects such as massive galaxies, highly active black holes, and colliding galaxies.
A team from the Institute for X-ray Physics at the University of Göttingen has developed a new method for X-ray microscopy that uses imperfect lenses to achieve higher image quality and sharpness. The researchers used a lens consisting of finely structured layers deposited on a thin wire and adjusted it between the object to be imaged ...
The new technique, 3D optical coherence refraction tomography (3D OCRT), produces highly detailed images revealing features difficult to observe with traditional OCT. It has the potential for biomedical research and eventually more accurate medical diagnostic imaging.
Researchers studied meiotic cohesin complexes' effect on chromosome structure and genomic integrity in embryonic stem cells. Maintaining adequate levels of REC8 and STAG3 factors ensures chromosomal stabilization and sister chromatid cohesion.
A team of researchers at Georgia Tech has developed a custom-built microscope that can reconstruct comprehensive 3D representations with a single camera image. This allows for quantitative analysis of organoids and provides insights into tissue development, drug interaction, and cellular behavior.
Researchers at the Beckman Institute found a direct link between high-fat diets and heightened nitric oxide levels, which can lead to increased risk of inflammation and cancer development. The study used a molecular probe to visualize changes in the tumor microenvironment.
A CNIC team has created a dynamic 3D atlas of the formation of the heart during embryonic and fetal development, allowing for the identification of the first appearance of left–right asymmetry in the heart. This study provides important information on the development of congenital heart malformations.
Researchers suggest a novel neuroimaging technique can unveil Alzheimer's disease secrets and predict symptom risk. The 'neuromelanin-sensitive MRI' method provides insights into the brain's noradrenergic system, linked to aggressive behavior and cognitive decline.
Researchers found that pericyte precursor cells and endothelial cells work together simultaneously during embryonic development, contrary to previous theories. This discovery may lead to new strategies for repairing damaged tissue after stroke or heart attack.
Researchers discovered that mosquito brains use a surprisingly simple mechanism to recognize human odor, involving just two nerve centers. The team identified the specific compounds decanal and undecanal as key components of human scent, which are also present in other mammal odors.
Scientists develop high-power hybrid laser emitter for volumetric photoacoustic imaging, improving penetration depth and quality of medical diagnosis. The technology enables accurate measurement of water content in deep tissue, opening avenues for biological research and disease diagnosis.
Two new methods for producing high-resolution visualizations of small artefacts are presented, allowing anyone to create high-quality images and models with minimal effort and cost. The protocols provide detailed workflows for photographic acquisition and processing, enabling replicability and reproducibility in the field of archaeology.
Researchers at EPFL's School of Life Sciences have identified a critical link between cellular lipids and the determination of cell fate. They found that changes in lipid composition can influence the behavior of cells in response to external stimuli, even if the original cell type is identical.
Researchers at Columbia Engineering and Brookhaven National Laboratory have developed a new high-resolution x-ray imaging technique to reveal the inner structure of novel nanomaterials. The tool, which provides 7nm resolution, has enabled them to study complex 3D architectures with unprecedented detail.
A research team at HKUST has developed a long-term in vivo imaging technique to study spinal cord injury, allowing for repeated and stable imaging without triggering inflammation. The breakthrough enables researchers to track microglia and understand their interaction with degenerating and regenerating axons.
A novel method developed by the University of Tsukuba uses drones and machine learning to estimate the amount of plastic litter in rivers. The approach combines high-resolution optical and thermal images, resulting in more accurate estimates than other methods.
Conjunctival goblet cells play a crucial role in tear film stability, and their dysfunction is linked to various ocular surface diseases. A new microscopy system allows for non-invasive examination of CGCs in live animal models and humans, enabling precise diagnosis and treatment of ocular surface diseases.
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 team of researchers has developed a MEMS scanning lidar that can detect objects reliably even in shaky environments. The long-range MEMS lidar prototype uses a digital controller to suppress errors caused by vibrations, allowing for stable 3D imaging and object detection.
Researchers have successfully produced a 3D image of a silicon crystalline sample using coherent X-rays from new synchrotron sources. This breakthrough enables high-resolution imaging of complex materials, such as biominerals and functional magnetic crystals, with unprecedented detail.
Researchers developed an AI-driven image analysis pipeline that identified novel cellular hallmarks of Parkinson's disease from images of over a million skin cells. The platform can distinguish between patient cells and healthy controls, revealing new signatures for potential therapeutic targets.
The Mini2P allows for live imaging of thousands of neurons, recording complex behavior and cognitive functions in a naturally behaving animal. By mapping neural landscapes across the cortex, researchers can gain insights into high-resolution brain activity and function.
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 the European XFEL facility have taken pictures of gas-phase iodopyridine molecules at atomic resolution using ultra-bright X-ray pulses. The images were reconstructed from the fragments caused by a Coulomb explosion, providing unprecedented clarity for this method and molecule size.
Scientists have devised a method to pinpoint active ingredients from traditional Chinese medicine formulations, revealing 4 analytes with significant anti-inflammatory activity. This breakthrough could improve quality control standards and lead to better herbal remedies.
Researchers developed a novel method of measuring aortic growth, called vascular deformation mapping, which outperforms standard manual rating methods. The technique uses high-resolution CT imaging to calculate three-dimensional changes in the aortic wall, achieving an accuracy of less than 1 millimeter.
Researchers at OIST used advanced imaging to record signaling within single astrocytes, revealing ultra-fast signals on par with neurons and patterns of activity corresponding to different behaviors. The findings suggest that astrocytes may store memories as 'fingerprints' in specific areas, called hotspot maps.
The new sensor grids offer 100 times higher resolution than existing technology, allowing for more precise identification of seizure origins and preservation of healthy brain tissue. Longer term, the technology holds potential for permanent implantation to improve life quality for people with paralysis or neurodegenerative diseases.
Researchers from SUTD and A*STAR IMRE demonstrate the use of chalcogenide nanostructures to reversibly tune Mie resonances in the visible spectrum, paving the way for high resolution colour displays. The technology relies on phase change materials, including antimony trisulphide nanoparticles.
A new wearable headset, Kernel Flow, monitors brain activity using time-domain fNIRS. The system can record high-resolution brain signals from across the brain with performance similar to conventional systems.
Researchers from Göttingen University and Hannover Medical School have detected changes in heart muscle tissue of people who died from Covid-19. The study used innovative X-ray imaging to visualize the affected tissue in three dimensions, revealing a network of chaotic vessel formations.
Researchers at Göttingen University have developed a new X-ray imaging method to detect changes in neuronal cell nuclei, indicating altered activity of neurons. This technique enabled the identification of changes in neurons in Alzheimer's disease.
Researchers identified areas of the infant visual cortex that already show strong preferences for faces, bodies, or scenes, similar to those in adults. This challenges the traditional view that these regions take years to develop, suggesting a more rapid emergence of specialized brain structures.
The need for new antibiotics is critical due to rising antibiotic resistance, which kills over 35,000 people annually in the US. Research by Harvard Medical School aims to develop better antibiotics by targeting essential bacterial proteins.
A new study found that the brainstem plays a key role in modulating pain signals in the spinal cord based on expectations, with increased activity linked to the placebo effect and decreased activity to the nocebo effect.
Researchers used satellite data to identify areas in coastal southwest Madagascar where indigenous foragers altered their surroundings, showing a 17% human impact. The study found subtle but widespread changes in soil capacity to absorb water and vegetation distribution.
Researchers developed a new mass spectrometry technique to identify key protein features in cyanobacteria, enabling rapid detection of harmful species. This approach can be used to prevent blue-green algae blooms and detect toxic species, such as spirulina extracts.
Researchers developed a non-toxic, small-molecule probe that provides real-time visualization of disease progression, overcoming limitations of MRI and PET imaging. The probe binds copper ions and detects dysregulated levels, accurately identifying Wilson's disease and other maladies.
Researchers developed a method to apply deep learning to polarization-sensitive optical coherence tomography, enhancing cancer diagnosis. The technique enables OCT systems to detect abnormalities on a deeper level, differentiating microstructural features such as collagen fiber orientations.
A team of neuroscientists at the Beckman Institute developed safety standards for multiband EEG-fMRI imaging, reducing heating risks and maintaining data quality. By establishing protocols to mitigate artifacts, they enabled the use of accelerated fMRI sequences with EEG recordings.
A research team from USTC developed an up-conversion single-photon detector to achieve millimeter-level 3D non-line-of-sight imaging. The detector operates at picosecond resolution and has low noise counts rate, enabling high-precision 3D reconstruction of target objects.
A team of Beckman researchers developed software to boost infrared imaging-based cancer diagnosis, enhancing image resolution and accelerating recording speeds. The software integrates data analysis and reduces limitations associated with IR imaging, making it faster and more accurate.
Electrical engineers at UC San Diego developed a technology that converts low-resolution light to high-resolution light, enabling ordinary microscopes to image living cells with a resolution of up to 40 nanometers. The technology uses a specially engineered material that shortens the wavelength of light as it illuminates the sample.
Researchers developed a nanoparticle-based MRI contrast agent called SAIO for high-resolution 3D microvascular imaging, outperforming traditional gadolinium-based agents. The agent provides excellent resolution and stability, allowing for accurate diagnosis of cerebro-cardiovascular diseases.