Researchers developed new method to visualize CNS fibroblasts and their intercellular interactions in the CNS. The technique provides a detailed picture of CNS fibroblasts, including their location, size, morphology, and gene/protein expression patterns.
Researchers propose a novel pathway to realizing hot carrier solar cells, which can exceed the typical efficiency limit on solar cells. The approach involves isolating hot carriers within higher energy valleys in semiconductors, reducing energy loss to heat.
Researchers are combining optogenetics and fMRI to study the links between brain activity and behavior. This hybrid approach allows for targeted manipulation and monitoring of brain function in awake and behaving rodents, providing valuable insights into neural mechanisms.
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 developed a new framework to extract meaningful vectorial metrics from Mueller matrix elements, providing insights into exotic material characterization and precise cancer boundary detection. The framework establishes a universal metric for calculating different physical properties of target objects.
Researchers at Boston University have developed optoacoustic neurostimulation with single neuron and subcellular level precision. Optoacoustic neuromodulation may offer advantages over ultrasonic neuromodulation, including higher spatial temporal resolution.
Researchers have developed miniaturized reflectors that enlarge the uses of remote infrared spectroscopy, allowing for field-ready devices with minimal size, weight, and power requirements. The devices utilize Ge-BaF2 thin films for surface micromachined mid-wave and long-wave infrared reflectors.
Researchers have developed a direct method for generating complex structured light through intracavity nonlinear frequency conversion. This technique uses transverse mode locking to produce vortex beams, which are then converted into second-harmonic generation beams with distinct structural characteristics. The study demonstrates the p...
Researchers developed a new technique called dual-detection impulsive vibrational spectroscopy (DIVS) to measure two distinct types of vibrational signals. DIVS enables synchronous measurement of THz- and fingerprint region vibrations, offering high temporal resolution for real-time chemical analysis.
Researchers demonstrate a two-terminal tandem solar cell with enhanced efficiency through spectrum splitting, achieving a 5-6% gain in absolute efficiency. The design uses planar and Lambertian spectral splitters to effectively distribute sunlight among the top and bottom cells.
Researchers have discovered that altering the interface between two materials in time can lead to new opportunities for wave manipulation. This breakthrough enables novel concepts and applications in photonics, including nonreciprocal gain, power steering, and optical drag.
Researchers developed a new reagent-free detection technique for SARS-CoV-2 using Raman spectroscopy and machine learning. The method shows an accuracy of 80% in detecting COVID-19 infections from saliva samples, overcoming limitations of RT-PCR testing.
A mechanical RIS has been developed with high reconfiguration degree of freedom, low power consumption, and real-time dynamic control capabilities. It uses a robust control method to determine the rotation angle of each meta-atom and offers a new energy-saving and environmentally friendly alternative for wireless communications systems.
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 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 developed a multifunctional microfiber probe for real-time monitoring of cellular molecules and changes in cell morphology. The nanowire probe enabled sensitive detection of refractive index distribution in single living cells during apoptosis.
Research reveals organic aggregates can emit polychromic and white light with high efficiency, opening up new avenues for OLEDs and encryption. However, more work is needed to fully understand the underlying mechanisms and improve performance.
The integration of optical sensing into orthopedic surgical devices has the potential to increase accuracy and improve outcomes in musculoskeletal repair. Researchers explore various types of optical sensing, including spectroscopy and imaging, to address unmet clinical needs in orthopedic surgery.
Researchers developed a new hand gesture recognition algorithm that surpasses current methods in accuracy, complexity, and applicability. The algorithm combines adaptive hand type classification and a shortcut feature for efficient real-time recognition.
A team of researchers demonstrates an adaptive optimization protocol that can engineer arbitrary high-dimensional quantum states, overcoming limitations due to noise and experimental imperfections. The protocol uses measured agreement between produced and target state to tune experimental parameters.
Researchers have developed a room-temperature perovskite polariton parametric oscillator, enabling scalable and low-threshold nonlinear devices. This breakthrough offers possibilities for the development of cost-effective and integrated polaritonic devices.
Scientists from UCLA develop a do-it-yourself radiative cooler using household materials, achieving moderate to large temperature drops. The design's reproducibility and low cost make it an attractive standard for research settings.
Researchers have developed a superconducting silicon-photonic chip for quantum communication, enabling optimal Bell-state measurement of time-bin encoded qubits. This breakthrough enhances the key rate of secure quantum communication and removes detector side-channel attacks, significantly increasing security.
A lung model mimicking complex anatomy has enabled the assessment of respiratory volumes using a gas-in-scattering-media absorption spectroscopy (GASMAS) technique. The study demonstrates the feasibility of GASMAS to sense changes in gas volume in a controlled environment, paving the way for potential clinical applications.
Researchers developed a novel spintronic-metasurface terahertz emitter that generates broadband, circularly polarized, and coherent terahertz waves. The design offers flexible manipulation of the polarization state and helicity with magnetic fields, enabling efficient generation and control of chiral terahertz waves.
Researchers discovered a novel topological edge soliton that inherits topological protection from its linear counterpart, enabling robust and localized light beams. This breakthrough is achieved through nonlinear photorefractive lattices harnessing the valley Hall effect, without requiring an external magnetic field.
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 have integrated holographic optical elements to create a waveguide eye-tracking system that can track eye movements in near-infrared wavelengths. This design enables the development of more efficient and powerful augmented reality systems.
A new approach to generating quantum-entangled photon pairs uses nonlinear metasurfaces to enhance and tailor photon emissions. The researchers achieved a five-order-of-magnitude increase in the brightness of entangled photons, with a highly configurable platform that can control entanglement and direction.
Researchers developed a method to overlay a virtual scale on acquired endoscope images in real-time, allowing accurate estimation of colorectal polyp sizes. The approach uses triangulation principles and minimal image processing, enabling cost-effective diagnosis without adding extra instrumentation.
Researchers developed a novel detector system using superconducting nanowire single-photon detectors to measure cerebral blood flow. The SNSPD-DCS system showed significant improvement in signal-to-noise ratio compared to conventional SPAD-based DCS, allowing for clearer detection of arterial pulses.
Researchers have directly measured the interaction between an ultraviolet laser and a relativistic electron beam in a dipole magnet. The study shows that energy modulation of the electron beam can be effectively tailored, leading to precise bends in the pathway and improved FEL pulse properties.
Researchers applied supervised machine learning to lidar data from fishery surveys, automating the identification process in regions with a strong possibility of harboring fish. The technique decreased manual inspection in datasets from Yellowstone Lake and Gulf of Mexico studies by 61.14% and 26.8%, respectively.
Researchers developed a general framework for dynamic control of THz wavefronts using cascaded metasurfaces. By varying the polarization of a light beam with rotating multilayer metasurfaces, they demonstrated efficient redirection and manipulation of THz beams, overcoming limitations in local tuning.
Researchers have developed a novel spectral-volumetric compressed ultrafast photography system that captures 5D information in a single snapshot. This breakthrough imaging technique enables new insights into ultrafast phenomena in physics and biochemistry.
Researchers at Huazhong University of Science and Technology developed a scheme to identify and weigh quantum orbits in strong-field tunneling ionization. By introducing a second harmonic frequency, they can alter the photoelectron yield, allowing for accurate identification of quantum orbits. This breakthrough enables attosecond tempo...
Developed by Jinan University researchers, the approach produces superoscillatory light spots without side lobes. The technique utilizes a cylindrical diffraction and sharp-edged apertures to eliminate tradeoffs between main and side lobes, enabling larger field of view while maintaining feature size within optical diffraction limit.
Researchers demonstrate conversion of infrared images to visible using ultrathin and transparent semiconductor nanocrystals. The proposed metasurface-based IR imaging approach offers novel opportunities for compact night vision instruments and sensor devices.
A novel calibration procedure developed by scientists enables precise super-resolution brain imaging at greater depth. The method corrects spherical aberration of the depletion beam, allowing for high-quality images of biological tissue.
Hyperbolic metamaterials enable subwavelength confinement of electromagnetic waves, allowing for flexible control of near-field light propagation. The researchers used an all-electric scheme to selectively couple near-field light in HMMs, enabling unidirectional excitation of hyperbolic modes.
Researchers developed a holographic light collector that captures unused solar energy and increases the amount of solar energy converted by solar panels over the course of a year. The collector directs specific colors of sunlight to solar cells within the panel, resulting in an estimated five percent increase in annual yield.
The co-planar optoelectrowetting device allows for individualized and parallel droplet actuation, increasing microfluidic input/output system integration configurations while achieving faster droplet speeds. The open-top design enables easier access to droplets from above, improving the performance of the device.
Researchers applied glide symmetry to dual-strip SSPP TLs, achieving flexible control of modal fields and significant suppression of coupling. This design enables compact circuits with improved signal integrity and low crosstalk.
The BreastPathQ Grand Challenge produced encouraging results, indicating a path toward integrating artificial intelligence to streamline clinical assessment of breast cancer. Thirty-nine teams from 12 countries developed automated methods for analyzing microscopy images of breast tissue and assessing pathology.
A study found that deep neural networks can accurately predict lung cancer type from CT scans, identifying new associations between genes and imaging features. This approach increases radiologists' confidence in assessing tumor types, informing individualized treatment planning.
A new optical diffraction tomography technique allows for high-resolution imaging of thick tissue sections without chemical staining, increasing diagnostic speed and accuracy. The method has been demonstrated to visualize individual cells and multicellular tissue architectures with subcellular resolution.
Researchers developed a miniature light-sheet generator that can be implanted into a living animal's brain, enabling high-speed and high-contrast imaging of brain activity. The technology uses nanophotonic technology to create ultrathin silicon-based photonic neural probes that emit multiple addressable thin sheets of light.
Researchers have developed a novel method to detect and manipulate the terahertz optoacoustic signal of water, enabling sensitive detection of solutes like ions with an order of magnitude greater sensitivity than traditional spectroscopy. This breakthrough allows for nondestructive analysis of aqueous solutions and tissues, opening up ...
Smartphone-based imaging systems can guide diagnosis and treatment with portable, user-friendly biomedical imaging. Emerging technologies like multispectral and quantitative fluorescence imaging offer promising diagnostic applications.
Researchers demonstrate commercialization of photonic MEMS switches fabricated on silicon-on-insulator wafers using regular photolithographic and dry-etching processes. The switch design includes a 32x32 matrix of replicated elements, achieving excellent light power loss, optical bandwidth, and switching speed.