Articles tagged with Super Resolution Imaging
A new measurement and imaging approach resolves nanostructures smaller than the diffraction limit without dyes or labels, using polarization and angle-resolved images of transmitted light. The method measures particle size and position with high accuracy, closing the gap between conventional microscopes and super-resolution techniques.
Researchers developed a new technique, 2p-MINFLUX, to increase the precision of optical nanoscopy by doubling the gradient and decreasing the number of photons needed by a factor of four. The team's simulation proved that this approach requires fewer photons under two-photon excitation.
Researchers create OLID-SDOM to map weak fluorescence anisotropy in live cells, achieving high-resolution images of subcellular structures at 100 frames per second. The method overcomes limitations of previous techniques, enabling the study of molecular arrangement and rotation in biological systems.
A new AI-driven super-resolution technique, Ghost Imaging using Deep neural network Constraint (GIDC), increases spatial resolution to more than 10 times the diffraction limit. The method uses single-pixel measurements and a physics-enhanced deep neural network to restore high-quality images.
Researchers have made a significant breakthrough in predicting heart attacks and strokes by developing a non-invasive method using super-resolution ultrasound imaging. The technology aims to detect high-risk atherosclerotic plaques that are prone to rupture, allowing doctors to prescribe life-saving interventions.
A team of scientists developed an AI-driven super-resolution technique called Ghost Imaging using Deep neural network Constraint (GIDC) to overcome the diffraction limit in long-distance imaging. GIDC uses single-pixel measurements and a physics-enhanced deep neural network to restore high-quality images.
A new method termed Optical Lock-in Detection Super-resolution Dipole Orientation Mapping (OLID-SDOM) is developed for weak fluorescence anisotropy mapping in live cells. This approach achieves high spatial resolution and speed, allowing for the study of subcellular structures with unprecedented precision.
Scientists successfully image a single ion in an ion trap system on nanosecond timescale, achieving resolution beyond 175 nm. The technique also demonstrates sub-10nm positioning accuracy and time resolution of 50 ns.
Researchers use super-resolution infrared imaging combined with X-ray fluorescence nano-imaging to study amyloid toxicity on a subcellular level. They found that the distribution of trace elements in neurons is related to molecular mechanisms of Alzheimer's disease, offering new insights into preventing neuronal damage.
A joint research team from POSTECH and KIMS developed a faster and more accurate microstructure imaging technique using deep learning. The technique enhanced the resolution of existing microstructure images up to 4, 8, or 16 times, reducing imaging time by up to 256x compared to conventional SEM systems.
Researchers have developed a novel super-resolution vibrational microscopy harnessing Stimulated Raman Excited Fluorescence (SREF) for ultrasensitive vibrational contrast. This technique enables all-far-field Raman spectroscopy with sensitivity down to single-molecule resolution.
Scientists have developed Repeat DNA-Paint, a new technique that overcomes DNA-PAINT's drawbacks to improve super-resolution imaging. This allows for clearer molecular detail with light microscopy, enabling direct observation of biological functions in health and disease.
This article discusses the integration of ultrasound imaging in medicine and biology, enabling advanced techniques such as molecular imaging and therapy. The use of ultrasound contrast agents and microbubble cavitation has opened up new opportunities for intracellular delivery and cancer treatment.
A research group at KAIST has developed an ultracompact camera that captures high-contrast and high-resolution images. The camera's unique design, inspired by the paper wasp species Xenos peckii, combines micro-optical elements for improved image quality and reduced thickness.
A team of researchers developed a fully packaged ultrathin arrayed camera inspired by the Xenos peckii eye, achieving high contrast clear images and super-resolution capabilities. The camera's unique configuration suppresses optical noise, resulting in improved image quality.
A team of researchers has developed a technique that can perform both 3D super-resolution microscopy and fast 3D phase imaging in a single instrument, enabling high-time resolution visualization of living cells. This new platform, called PRISM, allows for direct visualization and analysis of subcellular structures without labeling.
Researchers develop an approach to super-resolution photoacoustic imaging using advanced statistical analysis, breaking the barriers of conventional imaging hardware. This technique offers a practical and low-cost option for improving biomedical imaging for research and diagnostics.
Researchers at Pohang University of Science & Technology have developed a scalable fabrication process for large-scale hyperlens devices using nanoimprint lithography. This breakthrough enables the creation of sub-diffraction features down to 160 nm, paving the way for practical super-resolution imaging in various fields.
Scientists at MIT and HHMI use a new imaging technique to observe short-lived enzyme clusters that play a central role in triggering mRNA production and controlling gene transcription. These clusters, which remain stable for up to 24 seconds, can significantly impact gene expression.
Researchers have developed a theoretical methodology to solve the 'counting problem,' allowing for the analysis of protein groups in living cells. The study's findings could lead to advancements in disease diagnosis and understanding of protein function.
The University of Colorado has developed a novel technique for 3D super-resolution imaging with the help of Boulder-based Double Helix LLC. This technology combines 3D optics and signal processing to provide multifunctional imaging capability, applicable to various scientific, industrial, and consumer applications.