Researchers developed a scalable photonic crystal scintillator that improves light extraction efficiency and X-ray imaging signal-to-noise ratio. The approach increased light output by 4.64-fold and maintained spatial resolution better than 25 μm.
A new approach to lensless microscopy uses near-infrared light to recover detail in thick, scattering tissues, outperforming traditional visible-range methods. The study achieved high-quality images of uncleared mouse liver and brain sections, revealing internal structures previously obscured by scattering.
Researchers propose a novel self-supervised reconstruction framework for single-pixel imaging that decouples measurement and reconstruction resolution. This enables high-pixel-resolution imaging from low-dimensional measurements, overcoming resolution limitations in conventional single-pixel imaging.
A joint team proposes a top-down strategy for controllable synthesis of chiral nanostructures in optical crystals using femtosecond laser pulses. This method enables the creation of chiral materials with unique optical responses, distinguishing between spin states of light, and has potential applications in encrypted optical communicat...
Scientists create gradient magnetic field-controllable SERS substrate, enabling zone-specific Raman signal enhancement and improved detection performance. The NdFeB substrate regulates particle distribution, forming effective nanogaps and maximizing SERS enhancement efficiency.
Researchers developed a statistical SERS strategy to turn signal fluctuations into concentration fingerprints, enabling more reliable ultrasensitive quantitation. By analyzing the full continuous SERS intensity distribution, the team achieved 100% identification accuracy across diverse chemical and biological applications.
Researchers developed a hybrid photonic platform that achieves wide two-dimensional field-of-view without sacrificing beam quality. The platform uses a light-routing chip, microscopic reflectors, and a metasurface to steer an optical beam in both horizontal and vertical directions.
Graphene diffractive zone plates can produce wavelength-dependent focal and interference patterns that serve as physical responses. AI analysis transforms these patterns into compact binary security responses.
Researchers have developed a method to transfer electron topology into measurable orbital angular momentum and polarization skyrmions, enabling noninvasive diagnosis and versatile radiation sources. The approach uses guided Cherenkov emission and demonstrates reproducible electron-to-field topology-transfer interfaces.
A novel laser-fabricated plasmonic chip combines 185 nm Raman resolution with deep learning to identify and sort cancer cells. The developed sorter achieves precise cell sorting without labeling, using spatially resolved Raman signals.
Distributed Acoustic Sensing enables standard optical fiber cables to detect vibrations, acoustic waves, and dynamic strain over long distances. The review highlights the technology's rapid growth and increasing importance, with applications in geophysics, civil engineering, transportation, and environmental monitoring.
A new method uses hybrid bright-dark field imaging to enhance digital pathology resolution, improving diagnostic sensitivity and AI-assisted analysis. It achieves 2.1x spatial resolution enhancement with minimal hardware upgrades and improved efficiency.
Optical convolution computation enables parallel light propagation and multiplexing for faster and more energy-efficient computing systems. The review organizes the field into two paradigms: definition-based and theorem-based, which leverage mathematical principles to implement convolution operations in the physical domain.
A joint team from NJU and PKU achieves single-shot high-fidelity lensless dynamic imaging by merging physical modeling with neural representation. This approach enables the recovery of clear and high-resolution images of moving samples, paving the way for flexible and practical lensless imaging applications.
Multi-source data-driven machine learning is transforming lung cancer diagnosis, treatment, and prognosis by analyzing complex medical data. The review highlights the innovative applications of this technology in early screening, personalized treatment optimization, and dynamic prognostic risk stratification.
Researchers developed a flexible microsystem to deliver light directly to internal cancer treatment sites, overcoming the limitation of traditional PDT. The system, powered wirelessly and containing tiny light-emitting components, shows promising results in laboratory tests, paving the way for more precise and effective cancer treatments.
Researchers developed a new design strategy to overcome limitations in metasurface-based approaches, creating a response that enables strong, fast modulation across a wider range of colours. This advance provides a pathway for compact, high-speed optical devices with potential applications in faster data transmission and future light-b...
Researchers found that high-power pulses can distribute light evenly across seven cores in a multicore fiber, reducing fluctuations and improving stability. The effect is robust and not affected by disturbances such as bending or twisting, opening new possibilities for efficient and powerful laser systems.
Researchers have developed a new photonic architecture that enables scalable spatiotemporal interleaving networks for high-density integrated photonic convolution. The SPIN (Spatiotemporal Photonic Interleaving Network) framework reduces waveguide complexity and increases programmability in wavelength-domain interleaving, enabling comp...
Researchers designed a compact, optically addressed programmable metasurface using VO2-based phase change materials. The device enables pixel-level independent encoding and dynamic generation of THz wavefronts for various applications including zoom meta-lensing, vortex beams, and holography.
Resonant meta-devices revolutionize imaging and display by achieving ultra-narrowband wavefront shaping and spectral decoupling. They enable multifunctional, high-purity light-field control with applications in AR/VR, LiDAR, quantum photonics, and biosensing.
Researchers have developed a detector that delivers high sensitivity while operating at ordinary room temperature, using carbon nanotubes and a pyroelectric lithium niobate crystal. The device surpasses earlier graphene-based detectors by several orders of magnitude and offers a broad spectral range without cryogenic cooling.
Researchers employed terahertz time-domain spectroscopy to investigate oxygen-vacancy migration in amorphous ZrO2 films, revealing its critical role in conductivity and polarization behavior. The study establishes a physical framework for understanding ferroelectric-like phenomena in amorphous oxide materials.
Researchers created a hafnium-based scintillator that significantly improves light output, reduces optical crosstalk, and delivers ultrahigh resolution in X-ray imaging. The material's low defect density and optimized structure enable high sensitivity and excellent radiation stability.
Researchers have introduced laser reflective tomography to overcome the speed-resolution trade-off in NLOS imaging, achieving kilometer-scale high-resolution imaging without scanning mechanisms. This innovative approach combines single-point detection with multi-angle projection data for accurate scene reconstruction.
Researchers developed a perovskite/In0.47Ga0.53As thin-film heterojunction to create high-sensitive DUV-SWIR photodetectors with optimal stability and performance. The device achieved 98.9% retention of initial performance after 30,000 cycles.
Researchers developed a non-contact optical sensing strategy to detect ethanol molecules in air using light-field distortions and deep learning. The system employs a graphene-based Fresnel lens to focus light through interference, capturing minute changes in the focal spot formed by the lens.
Researchers have developed a polymer-based microring resonator array with over 40 elements, demonstrating broadband acoustic detection and fine spatial resolution. The system achieved strong correspondence with biological structures, including blood vessel regions, in imaging mouse prostate tissue.
Optical approaches offer unique advantages for chiral analysis, including non-contact operation and ease of integration. Recent advances in optical sorting and detection of chiral particles have improved sensitivity, selectivity, and practicality through engineered light fields and AI-assisted strategies.
Scientists create microscopic 3D light-emitting ceramic structures using chemical synthesis and advanced laser-based 3D printing, enabling the fabrication of single-phase crystalline YAG:Ce³⁺ with high precision. This technology has the potential to transform the design and manufacturing of optical devices, leading to more energy-effic...
Researchers developed a black phosphorus-based all-fiber photonic artificial intelligence diagnostic platform, achieving 246-fold energy efficiency gains. The system achieved 95.0% accuracy in retinal detachment detection and 97.6% specificity in hepatocellular carcinoma diagnosis.
Researchers propose a Digital Twin Optical Computing System that reduces dependence on physical hardware for task development. The DT-OCS framework enables offline simulation, training, and optimization of computational tasks, improving research efficiency and application flexibility.
A review article analyzes InP quantum dot synthesis, core/shell optimization, ligands, and charge management for high-performance QLEDs. The study reveals the intrinsic relationship between microscopic material properties and macroscopic device performance.
Researchers introduce generalized perfect spatiotemporal optical vortices with topological-charge-independent sizes and fully controllable geometric shapes. The new method achieves higher modulation efficiency and improved energy utilization, exceeding 90%.
The device exhibits outstanding performance across a broad optical spectrum, with high responsivity and specific detectivity. Its polarization-sensitive detection capability enables the direct deciphering of light's polarization state without external filters.
Researchers develop fluoride-engineered perovskite nanocrystal glass for high-efficiency, full-color emission and ultra-high-resolution holographic displays. The glass matrix enables stable and efficient photoluminescence of PNCs, driving the creation of high-quality dynamic displays.
Researchers explore new design strategies for metasurfaces and BICs, enabling scalable light control and efficient optoelectronic platforms. These advances have practical implications for applications in lasing, sensing, nonlinear optics, wavefront shaping, and imaging.
Researchers propose a novel THz metasurface-enabled platform for integrated sensing and imaging, overcoming limitations of slow sequential data acquisition. The system achieves 100% binary image reconstruction with nanosecond-scale accuracy, enabling real-time applications in security, semiconductor, and pharmaceutical sectors.