Researchers at the University of Tokyo have developed a frequency-based inpainting method that enables the use of both frequency and spatial information to generate realistic missing image portions. The technique outperforms state-of-the-art methods in quality metrics such as PSNR, SSIM, and L1.
A team of researchers from Shanghai Jiao Tong University has developed a new way to break the Abbe diffraction limit and realize subwavelength imaging in an all-optical manner. By utilizing nonlinear four-wave mixing, they create super-resolution through scattering of evanescent fields into the far field.
Research demonstrates that smart glazing windows can decrease energy consumption for lighting and temperature control by up to 35 percent, while reducing CO2 emissions by up to 30 percent. The technology also optimizes natural daylight in a room, reducing reliance on artificial lighting.
Researchers investigated how observers perform in 2D and 3D image localization tasks, finding that they often treat volumetric images as stacks of independent 2D images. This leads to inefficiencies in target localization, especially for smaller targets in 3D images.
A research team developed a straightforward method to find high-Q modes in single dielectric nanocavities. They discovered high-Q modes using Mie mode engineering and avoided crossing, resulting in improved photonic device performance and applications.
Researchers have developed a nondestructive way to measure drug treatment responses in lab-grown cancer samples using redox imaging. The technique allows for sensitive information about drug responsiveness and can identify organoid subpopulations with distinct responses.
Researchers Adam Overvig and Andrea Alù show that strict periodicity is not required for Fano resonances, enabling novel properties in metasurfaces. They demonstrate a nonperiodic metasurface with perfect reflection and phase conjugation, opening up new applications in optics and beyond.
Researchers developed a multiwavelength OR-PAM system based on a single laser source, enabling simultaneous multicontrast imaging of hemoglobin concentration, blood flow speed, blood oxygen saturation, and lymphatic concentration. This innovation shortens imaging time and improves accuracy for functional imaging in biological tissues.
Using spatially structured ultrashort laser pulses, materials can be modified with diverse effects, from marginal refractive index changes to destructive microscale explosions. This technology allows true micron-scale material processing due to extremely short exposure times and low thermal diffusion.
Researchers explore incorporating Earth observation data into flood forecast-based early action to reduce disaster risk and losses. The study identifies opportunities for using EO data in FbA, focusing on predefined triggers and impact-based forecasting.
The study uses THz wave absorption to probe the temporal evolution of quasifree electrons in laser-induced plasma, showing a unique two-step decay characteristic. The researchers also find that as electron density increases, traps related to bound states saturate, leaving many electrons unsolvated.
A hybrid approach combining hardware- and computer vision-based tracking improves the accuracy of laparoscopic ultrasound imaging. By using a custom tracking mount with EM sensors and CV markers, the system can track the transducer's pose with high accuracy.
Plasma-grating-induced breakdown spectroscopy (GIBS) overcomes the drawbacks of traditional LIBS techniques, achieving a signal intensity enhancement of more than three times. This technique utilizes a plasma grating to improve measurement stability and sensitivity.
Researchers found a new lasing mechanism in water droplets that can record subtle biomolecular interactions and dynamics. The mechanism is sensitive to interfacial molecular forces, allowing for the amplification of changes in laser emission characteristics.
Researchers developed a microelectromechanical systems (MEMS) optical scanner that enables better road safety by adjusting the driver's visibility based on speed and traffic environment. The system provides improved visibility, especially for pedestrians, and reduces glare from oncoming vehicles.
Researchers developed a low-cost, portable microscopy system using transparent microspheres and affordable objective lenses to detect pathogens in water sources. The assembly can be customized for various applications, including on-site antibiotic testing.
Researchers developed a new AO module comprising two deformable phase plates, enabling direct integration with existing microscopes. The system successfully corrected sample-induced aberrations in synthetic samples, demonstrating improved image quality and doubling the aberration correction range.
The article reviews the development of surgical microscopes, from their introduction in 1921 to the latest advancements. Advanced technologies such as augmented reality displays, hyperspectral imaging, and robotic visualization platforms are increasing the capabilities of surgical microscopes. These improvements enable better visualiza...
Researchers have developed a novel synthetic aperture microscopy method using digital micromirror devices, achieving high spatial resolution and fast imaging speeds. The technique enables the observation of subcellular dynamics and nanometric structures without harming living cells.
The event presents new research and innovations in photonics, including interactive sessions on nanophotonics, imaging, quantum research, and metalenses. Registration is free and open to the public.
The Hayabusa2 mission successfully returned asteroid samples from Ryugu, a carbonaceous asteroid believed to contain organic materials. The return marks the second successful sample-return mission in history, offering insights into the origin of life and potential resource utilization for space exploration.
Researchers have developed an AI-based algorithm called OxyGAN to accurately measure tissue oxygenation from single snapshots. This approach uses a conditional generative adversarial network to learn realistic output images and determine correct reconstructions for given input data, demonstrating robustness in measuring oxygen levels.
EPFL researchers demonstrate nonlinear beam cleaning, enabling generation of high-energy, ultrashort pulses with single-mode beam quality. They achieve sub-100 femtosecond pulses with high pulse energy and low M2 value without external amplification in a compact setup.
Researchers have developed an ultracompact metalens array that enables wide-field microscope imaging with large field of view and high resolution. The metalens-integrated imaging device (MIID) achieves compact architecture and working imaging distance in the hundreds of micrometers, paving the way for real-world applications.
Researchers have efficiently generated chiral terahertz waves with adjustable polarization, enabling the development of ultrafast opto-spintronics and information encryption applications. The generation process utilizes a three-dimensional topological insulator of bismuth telluride (Bi2Te3) nanofilms driven by femtosecond laser pulses.
Researchers developed bioresponsive dynamic barcodes using cavity-enhanced radiative energy transfer, converting biomolecular information into distinctive photonic barcodes. The system can detect molecules in a droplet with improved signal-to-noise ratio, enabling real-time intermolecular interaction and biosensing applications.
A machine-learning algorithm detects early stages of Alzheimer's disease using functional magnetic resonance imaging (fMRI). The algorithm uses a convolutional neural network (CNN) to analyze fMRI data and classify patients as healthy, mild cognitive impairment, or Alzheimer's disease.
Researchers developed an optical neuron system using quantum cascade lasers, operating 10,000× faster than biological neurons. The system demonstrates behaviors like thresholding and spiking, with fine-tuning of modulation and frequency allowing control of time intervals between spikes.
The event will feature a diverse cohort of neuroscientists presenting and discussing their latest research on the development and application of neurophotonics tools. The mini-symposium will highlight hot-off-the-press advances in neuroscience-related optical technology and its applications in in vivo imaging and neurocomputation.
Researchers developed a method to generate precisely controlled graphene microbubbles with perfect spherical curvature, suitable for use as concave reflective lenses. The high uniformity of the graphene oxide films enables precise control over bubble position, size, and stability.
Researchers have discovered a memory effect that dramatically alters the Doppler wave signature in scattered waves. This effect, which appears in both relativistic and classical regimes, is influenced by memories of prior wave interactions, resulting in asymmetric peaks in the scattered spectrum.
Researchers have experimentally observed effective gravity and two-time physics in ferrofluid-based hyperbolic metamaterials, paving the way for ultra-fast all-optical hypercomputing. This phenomenon has potential applications in time-sensitive fields such as real-time computing and target recognition.
Scientists have developed an all-optical imaging system that captures ultrafast dynamic processes at a record-breaking frame rate of 15 trillion frames per second. The method uses non-collinear optical parametric amplifiers, allowing for high spatial and temporal resolutions, and has the potential to become a new microscopy technique.
Researchers found that full-face readings provide greater accuracy than targeting only the inner canthi region for fever screening with IRTs. The study evaluated over 500 individuals and reported excellent IRT performance with clear correlations to oral temperature baseline data.
Researchers developed a simple, low-cost method to synthesize silver nanoparticles using habanero peppers. The process utilizes the antioxidant properties of the peppers to reduce silver ions, resulting in stable nanoparticles with potential applications in optics, biosensing, and antimicrobial coatings.
Researchers developed a novel spectroscopic technique to study stibnite nanostructures, revealing their potential as high-optical-quality waveguides. The technique allows for the measurement of spectrally resolved intensity profiles within individual nanodots, demonstrating that they can support four modes over a 200-nm bandwidth.
Researchers trap and control light at the interface of atomically thin nanomaterials, leveraging topological effects to create predictable and controllable photonics. The study demonstrates on-and-off electric switching and dimensional hierarchy of the device's topology.
Researchers have developed a weakly nonlinear waveguide that allows the stable propagation of azimuthons, which can exhibit Rabi oscillation. This technology enables new possibilities for encoding and encrypting optical information, and has potential applications in photonics and other fields.
Researchers have designed a graded index waveguide that allows the width of a frequency comb to be more than doubled, compensating for material dispersion in silicon. This breakthrough enables the creation of chip-based frequency combs for high-precision spectroscopy and compact spectrometers.
A team of researchers has made significant progress in developing a quantum body scanner that can detect cancer with high accuracy. By analyzing the transmission of vector vortex beams through scattering media, they have overcome major hurdles in biomedical imaging. The study's findings suggest that vector vortex beams can preserve the...
Researchers developed a liquid crystal integrated metalens that can achieve both achromatic and chromatic focusing with a single device. The design overcomes the challenge of chromatic aberration, allowing for improved resolution in full-color and hyperspectral imaging.
Researchers develop wireless ultrasound transducer that uses microwave absorption to generate sound waves, avoiding acoustic losses. The device consists of a copper ring with an oil-filled envelope, which concentrates microwaves into a hot-spot for efficient ultrasound emission.
Researchers developed two dermascopes using smartphone-based cameras to image skin lesions, mapping differences between melanoma and erythema. The approach improves efficiency and efficacy of skin-lesion diagnostics with high precision and simplicity.
Sean Shaheen, associate professor at University of Colorado Boulder, takes over as new editor-in-chief of Journal of Photonics for Energy in July 2020. He aims to publish emerging science and technology concepts in photonics for renewable energy harvesting and applications.
Researchers have developed a novel scheme for THz dual-comb spectroscopy that requires only a single laser source while maintaining exceptional resolution. The use of adaptive sampling technique minimizes timing instability and allows for accurate detection of small variations in the absorption profile of materials.
The journal's editorial board selected three papers for best paper awards, showcasing innovative work in interdisciplinary applications, theoretical innovation, and photo-optical instrumentation design. The honorees include a paper on deep-learning-based object detection for monitoring underwater ecosystems and marine debris.
Researchers used machine learning to enhance metasurfaces, optimizing them for nonlinear optics and optomechanics. The discovery has promising possibilities for photonic devices and applications, including optical sensing and narrowband filtering.
Researchers discovered a potential new method to detect age-related macular degeneration using tetracycline staining and fluorescence lifetime imaging microscopy. Tiny deposits of lipids, proteins, and minerals under the retina can be visualized with this technique, offering enhanced early detection.
New research uses physiological cues, specifically heart rate analysis, to discern between natural humans and computer-generated faces. By extracting pulse-rate signals from video sequences, the authors can classify input faces as either CG or NAT.
A study published in SPIE Journal of Biomedical Optics found that diffuse reflectance spectroscopy can reliably discriminate between healthy tissue and tumor tissue, regardless of neoadjuvant chemotherapy status. The technique's feasibility for tumor-margin assessment during breast-conserving surgery has been demonstrated.