A compact all-solid-state CW SLM laser with high frequency stability was developed using iodine-based frequency locking, advancing its application in atmospheric remote sensing and environmental monitoring. The laser achieves long-term frequency stability with a drift of 4 MHz over a continuous 7-hour period.
Researchers have designed a thermal management scheme to efficiently cool high heat flux switch chips in co-packaged optics (CPO), addressing signal crosstalk and temperature homogeneity issues. The solution can be applied to CPOs with data rates of up to 51.2 Tbit/s, releasing the performance potential of this technology.
A research team in China proposed an assessment framework that integrates water quality and ecological indicators to shape a clinical diagnosis paradigm. The framework enhances the ability of evaluating water ecological health by incorporating assessments of trophic status, water clarity, and ecosystem resilience.
Researchers have developed a model that uses terahertz scattering to identify structural tissue changes in diseases like cancer and burn injuries. The approach shows promise for early detection and characterization of disease-related tissue features.
Researchers at ETH Zurich have developed a new method for fabricating ultra-thin metalenses using lithium niobate nanostructures. These devices can convert infrared light to visible radiation, enabling new applications in security, microscopy, and electronics.
Scientists have developed a groundbreaking adaptive optics system that removes blur from images of the Sun's corona, revealing clearest images to date. The technology has produced remarkable observations of fine-structure in the corona, including raindrops and turbulent internal flows.
Scientists at Linköping University have made a significant breakthrough in creating controllable flat optics using nanostructures on a flat surface. By precisely controlling the distance between antennas, they achieved up to tenfold improvement in performance, opening up new avenues for applications such as video holograms and biomedic...
A team of scientists has achieved full polarization control of photons through photonic molecules consisting of two 1D photonic crystal nanobeam cavities. The coupling between PMs is influenced by air gap d and relative displacement s, allowing for high controllability. This breakthrough enables direct control of the local optical fiel...
This special issue highlights cutting-edge developments in subwavelength optics, including nonlinear meta-devices, chiral optical signals, and hybrid-layer data storage. Researchers explore new phenomena at the subwavelength scale, enabling enhanced imaging, sensing, and communication capabilities.
The Photonics M3 conference focuses on manufacturing, manipulation, and measurement of photonic devices. Key topics include information optics, biomedical optics, meta optics, and advanced optical fabrication. The conference will be held at Tsinghua Southeast Asia Center in Bali, Indonesia.
Researchers deployed fiber optics to detect seismic signals of crevasses opening on a Swiss glacier, confirming the technology's potential in monitoring glacier stability. The team detected 951 icequakes with strong oscillations after the arrival of seismic surface waves.
Scientists investigate whether living neurons can transport light through their axons, which would significantly change current models of the nervous system. If successful, it could have major implications for treating brain diseases and healing the brain.
Scientists have achieved full polarization control of photons through the use of photonic molecules, enabling direct control of the local optical field that couples to embedded emitters. This method has high efficiency and potential for applications in spin-resolved cavity quantum electrodynamics.
A new study introduces a method to actively shape and control spatial coherence in nonlinear optics, allowing for the transfer of coherence patterns between different spectral ranges. This approach enables innovative applications in imaging, security, and biomedical diagnostics.
Experts from 22 research institutes evaluate optical technologies in photovoltaics to increase efficiency and enable new applications. Coloured solar modules for facades are identified as a promising innovation.
Scientists at the University of Rochester have discovered a way to create artificial atoms within twisted monolayers of molybdenum diselenide, retaining information when activated by light. This breakthrough could lead to new types of quantum devices, such as memory or nodes in a quantum network.
A new study introduces a method to synthesize spatial coherence during nonlinear interactions, allowing for the transfer of coherence patterns between different spectral ranges. This approach enables advanced imaging techniques such as infrared imaging for medical diagnostics and environmental monitoring.
The Magellan Adaptive Optics Xtreme (MagAO-X) instrument observed two young planets orbiting PDS 70, revealing compact rings of dust and startling changes in brightness. The team believes these features are telltale signs of the planet's turbulent youth.
Researchers developed TAROQQO, an AI-powered turbulence forecasting tool, to predict atmospheric conditions up to 12 hours in advance. A high-speed adaptive optics system corrects optical distortions in real-time, enabling high-dimensional quantum information transfer and boosting key generation rates.
Multi-photon 3D nanoprinting enables 3D processing beyond the diffraction limit, with applications in optics, biology, and mechanical engineering. However, slow processing speed and materials limitations hinder its large-scale industrial production.
A new study from the University of Eastern Finland investigates the behavior of photons at boundaries where material properties change rapidly over time. This research uncovers remarkable quantum optical phenomena that may enhance quantum technology and pave the way for an exciting emerging field: four-dimensional quantum optics.
Researchers at Tampere University and Kastler-Brossel Laboratory have demonstrated self-imaging of light in cylindrical systems, facilitating unprecedented control of light's structure. They also explore a new type of space-time duality, bridging different fields of optics.
Researchers have designed and demonstrated a large aperture, wide field of view eyepiece based on meta-optics, addressing challenges in miniaturizing and enhancing imaging systems. The doublet system employing two layers of meta-optics achieves high-quality imaging up to 60° full field of view.
A new laparoscopic imaging technique uses stereo depth estimation and speckle-illumination SFDI to accurately map the optical properties of biological tissue. The device provides detailed optical property maps, enabling surgeons to identify critical tumor margins and improve clinical outcomes.
Relativity Networks develops patent-pending HCF cable that transmits data nearly 50% faster than conventional glass fiber, expanding data center geographical optionality. UCF's College of Optics and Photonics supports the innovation through industry partnerships and research collaborations.
A POSTECH research team developed a novel multidimensional sampling theory to overcome limitations of flat optics. Their study identifies constraints of conventional sampling theories and presents an innovative anti-aliasing strategy, significantly enhancing optical performance.
A recent study investigated hybrid diffuse optics to monitor changes in blood flow and oxygen levels noninvasively. The technology provided detailed insights into how oxygen is delivered and utilized in the body, suggesting improved outcomes for critically ill patients undergoing red blood cell transfusions.
Researchers developed a novel technique called vectorial digitelligent optics for high-resolution non-line-of-sight imaging, overcoming traditional limitations such as intensity and shape deterioration. The new approach achieves improved resolution, image contrast, and signal-to-noise ratio in single- and multi-object NLOS imaging.
Researchers have developed a new AI method that produces sharp microscopy images throughout a thick biological sample, count cells more accurately, and trace vessels in embryos. The technique doesn't require additional equipment beyond a standard microscope and is more accessible than traditional adaptive optics techniques.
Fogarty's research aims to monitor language function and recovery in post-stroke patients using DOT. She hopes to establish the feasibility of brain-computer interfaces to restore inter-personal communication for post-stroke patients.
Researchers develop inverse design method for metasurfaces, controlling nonlocal behavior and structure complexity. Smooth boundary deformations ensure compatibility with fabrication processes.
Researchers developed a new imaging technique using fluorescence-guided surgery to enhance visibility of tumors and nerves during head and neck cancer surgery. The technique uses two near-infrared fluorophores, one for tumors and another for facial nerves, allowing for clear differentiation between cancerous tissues and nerves.
Researchers have developed a new planar spectral singlet lens that unifies optical imaging and spectrometry, enabling simultaneous data acquisition. The device uses planar liquid crystal optics to achieve precise phase controls and spectral filtering, resulting in high-quality hyperspectral images.
Researchers developed a screening technique to filter out low-quality data in wearable sensors, improving the performance of smartwatches for noninvasive blood glucose estimation. The approach enhances accuracy by discarding data with high phase errors and approximating missing values.
Researchers developed a broadband CPL photodetector using an achiral structure to detect left- and right-hand circularly polarized light with an ultrahigh discrimination ratio. The device operates across the entire visible spectrum and can accurately detect small changes in light ellipticity.
Researchers developed a novel optical computation architecture called diffraction casting, which leverages spatial parallelism of light to perform computations. This method overcomes limitations of previous techniques by using wave optics, enabling scalable and parallel logic operations with high flexibility and integration capability.
The study found that individuals with higher melanin levels experience decreased signal quality and lower oxygen saturation readings. To enhance reliability, researchers advocate for incorporating melanin level measurements and using specific wavelengths less absorbed by melanin.
Researchers at Tampere University have observed hidden deformations in complex light fields for the first time. These deformations carry significant information about the object, such as its material properties. The study has implications for measuring material properties with structured waves and will inspire new optical technologies.
Researchers developed a new imaging technique using shortwave-infrared (SWIR) imaging to visualize the lymphatic system, improving resolution and sensitivity compared to traditional near-infrared (NIR) imaging. SWIR imaging with silver sulfide quantum dots offers superior image resolution and outperforms NIR-I imaging techniques.
Researchers introduced a novel illumination beam design based on deep learning, eliminating the need for sophisticated optics tools. The approach enhances image quality by optimizing both the deep learning network and the illumination beam simultaneously.
Researchers developed a novel adaptive optics approach to correct dynamical aberrations in optical microscopy, enabling accurate three-dimensional flow measurements. The system reduces measurement uncertainty, paving the way to better understanding water droplet formation and detachment mechanisms for fuel cells.
A new fabrication method has been developed to create highly sensitive flexible capacitive pressure sensors. The technique uses laser speckle grayscale lithography and results in sensors with ultra-high sensitivity and low detection thresholds.
A new imaging device that combines optical coherence tomography (OCT) with traditional otoscopy improves diagnostic capabilities for hearing clinics. The integrated device provides detailed views of the eardrum and middle ear, enabling more accurate diagnoses and treatment.
Researchers at the University of Arizona developed a transmission electron microscope with attosecond temporal resolution, allowing scientists to observe electron motion in real-time. This breakthrough enables studies of ultrafast processes at the atomic level, paving the way for advancements in physics and chemistry.
Researchers have overcome limitations to visualize nanostructures using a new microscopy technique that combines light manipulation. This breakthrough enables deeper understanding of metasurfaces, paving the way for advancements in flat optics and novel light sources.
A team of Chinese researchers introduced CNNs into optics, developing an ultrafast convolutional optical neural network (ONN) for efficient and clear imaging. The ONN achieves true optical computing speeds, significantly enhancing image quality and enabling real-time dynamic imaging.
Researchers have developed a nonlinear metasurface that enhances second-order and third-order nonlinear optical response through guided mode resonance and bound states in the continuum. The design allows for high-intensity light-matter interaction, resulting in strong coupling between light and matter.
Researchers at HHMI's Janelia Research Campus have adapted a phase diversity method from astronomy to microscopy, generating clearer images of thick biological samples. The new method is faster and cheaper to implement than current techniques, making adaptive optics more accessible to biologists.
Researchers developed DiFC, a two-color diffuse flow cytometry system that detects rare cancer cells in the bloodstream without invasive methods. The technology provides insights into cancer progression and response to treatments by studying different subpopulations of cancer cells simultaneously.
Scientists at the University of Rochester have developed a technique for pairing particles of light and sound, allowing for faithful conversion of information stored in quantum systems. The method uses surface acoustic waves, which can be accessed and controlled without mechanical contact, enabling strong quantum coupling on any material.
Researchers have developed a new imaging technique that rapidly and accurately identifies cancerous tissues in breast samples. The method uses machine learning algorithms trained on hyperspectral dark-field microscopy data to pinpoint regions of invasive ductal carcinoma and invasive mucinous carcinoma.
Recent translations of Alhazen's Book of Optics have revealed its profound impact on the development of modern physics. The book, written in the 11th century, laid the foundation for optical sciences and influenced prominent European scientists such as Kepler, Descartes, and Huygens.
The team designed a full-parameter omnidirectional planar invisibility cloak composed of two homogeneous materials, achieving omnidirectional impedance matching and zero phase delay. The cloak demonstrated excellent invisibility performance in experimental verification, making it suitable for radar communication and bistatic detection.
A team of researchers from the University of Rochester used adaptive optics to identify rare retinal ganglion cells that could help explain how humans perceive color. These non-cardinal RGCs may work in tandem with cardinal RGCs to create more complex color perceptions.
Researchers developed a compact swept-source Raman spectroscopy system for identifying both chemical and biological materials. The portable system addresses limitations of bulky dispersive Raman spectrometers, providing accurate results comparable to conventional systems.
Researchers at the Max Planck Institute of Quantum Optics have successfully developed a new technique for deciphering the properties of light and matter, enabling precise spectroscopy under low-light conditions. This breakthrough opens up possibilities for novel applications in photon-level diagnostics, precision spectroscopy, and biom...
Researchers developed a machine-learning model to assess prostate cancer biopsy samples, overcoming limitations of traditional methods. The new model, nnU-Net, provides accurate 3D segmentation of glandular tissue structures, leading to better prognostic analyses and potential improvements in patient outcomes.
A novel approach estimates metabolic activity and infers blood glucose levels from near-infrared measurements in commercial smartphones and smartwatches. The phase delay between oxyhemoglobin and deoxyhemoglobin signals closely relates to oxygen consumption during cardiac cycles, serving as a gauge for metabolism.
Scientists have created a way to correct distorted light patterns in real time without needing to reapply the same distortion. This method uses nonlinear optics and exploits difference frequency generation to produce an aberration-free output beam.
A new method combines a tri-channel chiral metasurface with a deep convolutional neural network to analyze polarizations, achieving fast, robust, and accurate measurements. This approach supports high spatial resolution requirements and compact design, enabling diverse applications in remote sensing, astronomy, biology, and microscopy.