Researchers develop novel broadband photodetectors expanding from deep ultraviolet to near infrared using CsPbCl3:Cer:Mn-LC, iodine-based perovskite quantum dots, and organic bulk heterojunction. The devices exhibit excellent performances with a wide response range, high responsivity, and detectivity, especially in UV and NIR regions.
Researchers have developed a vertical matrix X-ray detector that can distinguish between substances of different densities, enhancing imaging contrast and identifying soft substances. The device uses a novel design to restore the X-ray spectrum in detail, enabling effective multi-energy discrimination under a single exposure.
Researchers have created a hybrid Dirac semimetal photodetector that captures low-energy photons with high sensitivity and efficiency. The device features excellent environmental stability and can generate photocurrent across a wide spectral regime.
The study introduces a promising strategy for chip-integrated photodetectors by integrating van der Waals PN heterojunctions of 2D materials on optical waveguides. This approach enables low dark current, high responsivity, and fast speed, while simplifying fabrication processes and reducing costs.
Researchers have developed a novel terahertz imaging technique that enables sub-wavelength resolution without approaching the sample, overcoming sample damage and distance limitations. The new method uses an air-plasma dynamic aperture to modulate THz beam intensity on a sample surface.
A team of scientists has developed an optoelectronic NIR-to-visible upconversion device with a linear response, fast dynamics, and low excitation power. The device exhibits intensity-temperature sensitivity and spectrum-temperature sensitivity, enabling spatially resolved thermal sensing and applications in biomedical diagnostics.
Raman distributed optical fiber sensing offers flexibility and effectiveness in distributed temperature measurement for various engineering applications. Researchers have developed high-performance systems with optimized performance indices, including accuracy, distance, resolution, and multi-parameter monitoring.
A new AI-based localization technique enhances photoacoustic imaging speed and spatial resolution, reducing laser exposure and imaging time. The technology offers a solution for preclinical and clinical applications requiring fast and fine spatial resolution.
Researchers developed a self-alignment attention-guided deep learning architecture to improve resolution and speed in label-free nonlinear optical microscopes. The technique achieved high-quality reconstruction with significant speed-ups and spatial resolution enhancements.
Researchers have created a light-to-microwave transmitter using an optically programmed time-varying metasurface, enabling direct conversion of light signals to microwave signals. The system can transmit two different videos simultaneously over a single platform, paving the way for low-cost and low-complexity hybrid communication systems.
Researchers have developed advanced optical 3D printing methods for creating tissue scaffolds with controlled structure and scale, mimicking native extracellular matrices. These methods offer high precision, cost-effectiveness, and potential for broader applications in tissue engineering.
Intelligent metasurfaces have three crucial properties: digitalization, programmability, and intelligence. They enable control without human intervention, unlocking devices like cloaking, tunneling, and holograms.
A new lensless opto-electronic neural network (LOEN) architecture is developed for computer vision tasks, utilizing a passive mask to perform convolution operations in the optical field. The system achieves high recognition accuracy and energy efficiency compared to traditional machine vision links.
A new photonic-engineered thermal management strategy incorporates enhanced color-preserving radiative cooling into existing enclosures, reducing energy consumption by up to 63%. The system is designed to simultaneously reflect solar energy and radiate infrared energy, while blocking heat radiation from entering the inner space.
A comprehensive review of non-separability in classical light explores its potential for fundamental science and applications. The study introduces a unified framework for classifying non-separable states involving different degrees of freedom of light, offering a timely perspective on the field.
Researchers have developed a new method to expand the wavelength range of nanowire lasers using the second-order nonlinear effect. By utilizing this effect, high-quality GaAs/In core/shell NWs can generate visible lasing peaks at 508 nm via self-frequency-conversion processes such as second-harmonic generation (SHG). The technology als...
Researchers developed a core-shell structured nanotheranostic agent (YVO₄:Nd³⁺-HMME@MnO₂-LF) for orthotopic glioma imaging and therapy. The YVO₄ core exhibits NIR-II fluorescence properties, while the MnO₂ shell releases Mn²⁺ ions for T₁-weight MRI and provides O₂ in tumor microenvironments to enhance sonodynamic therapy.
Researchers developed efficient red emissive carbon dots (CDs) through a facile one-step solvothermal synthesis, enabling high-quality imaging in the red to NIR range. The CDs exhibited high photoluminescence quantum yield and enhanced multi-photon fluorescence when combined with bovine serum albumin.
A team of scientists has proposed a versatile photonic slide rule that enables simultaneous resolution of wavelength and polarization state. The device uses an all-silicon metasurface to achieve angle-resolved focusing spots, allowing for easy retrieval of the wavelength and polarization information.
Researchers demonstrate atomic scale memristors capable of emitting photons during resistive switching, providing a compact and CMOS-compatible light source. The 'Atomic Photon Source' consists of a planar Ag/amorphous SiOx/Pt junction with optical antennas, emitting light during electrical connection formation.
Researchers propose new method to enhance light delivery and focusing in scattering mediums, enabling deep imaging and biomedicine applications. The technique uses flying spot Reflection Matrix Optical Coherence Tomography (RMOCT) to separate multiple scattering photons and control their energy.
Researchers have developed Fe³⁺-activated Sr₂InSbO₆ broadband NIR-emitting phosphor materials with tunable emission from 885 to 1005 nm. The Ca2InSbO6:Fe3+ phosphor peaking at 935 nm shows an ultra-high IQE of 87%, making it suitable for NIR spectroscopy detection.
Scientists develop high-power hybrid laser emitter for volumetric photoacoustic imaging, improving penetration depth and quality of medical diagnosis. The technology enables accurate measurement of water content in deep tissue, opening avenues for biological research and disease diagnosis.
Deep learning is being adopted in optical metrology to solve ill-posed inverse problems, such as model mismatch and error accumulation. This approach leverages large datasets and active control strategies to produce accurate reconstruction results.
Scientists successfully convert diverse optical skyrmion textures without changing their spatial structure, enabling potential use as next-generation optical information carriers. The breakthrough allows for high-dimensional quantum interfaces and polarization-resolved imaging.
A team of scientists creates ultrafast optical nonlinearity in a monolayer semiconductor by designing plasmon-exciton polaritons, achieving strong interactions and great tunability. This breakthrough enables high-speed all-optical switching and energy-efficient data processing at room temperature.
A new carbon dots-based organic blend, m-CDs@CA, was developed to exhibit superior long persistent luminescence (LPL) features. The afterglow is observed for over one hour via irradiation by a hand-hold UV lamp, making it suitable for applications under ambient conditions and in aqueous medium.
A team of scientists has successfully implemented a novel QSDC system that transmits information directly using quantum states over 100 km of fiber, achieving ultra-low error rates and high transmission rates. The system uses photonic time-bin and phase states, resulting in a record-breaking distance of 100 km.
A new Raman spectroscopy system allows for real-time molecular imaging of near-surface tissue, providing detailed biochemical distributions for disease tissue differentiation. The technique offers high spatial resolution and can be used for clinical diagnostics and molecular boundary demarcation.
Scientists create microstructures that control light to display colors with high contrast using a novel additive manufacturing process. The team prints blue, green, yellow, and orange pictures on flexible substrates, including water bottles.
Researchers developed a novel approach combining interference lithography and grayscale-patterned secondary exposure to create high-throughput nanopatterning on a wafer-scale area. This method enables precise control of feature sizes, overcoming challenges in mainstream approaches.
A team of scientists successfully achieved a high-quality strain-free AlN film through graphene-driving strain engineering. The strain-free AlN film grown on graphene/sapphire can be used as a reliable template layer for high-quality epitaxy of DUV-LED devices.
Researchers developed a passivation strategy to improve the performance of quasi-2D perovskite light-emitting diodes by suppressing thermal-induced fluorescence quenching. The strategy, using alkyl phosphates as passivation functional groups, resulted in higher EQE peak values and improved device stability at high temperatures.
Researchers developed a universal method to fabricate van der Waals heterostructures into nano-opto-electro-mechanical systems. The team demonstrated various functionalities, including nano-mechanical resonators, vacuum channel diodes, and ultra-fast thermo-radiators.
Researchers have developed a new type of meta-imager that enables arbitrary all-optical convolution for AI and image processing. The meta-imager combines a metalens with a complex-amplitude modulator to perform convolutional operations in parallel, at the speed of light.
Researchers create a desorption-tailoring strategy to realize efficient p-doping in Al-rich AlGaN, achieving a high hole concentration of 8.1×10^18 cm^-3 at room temperature. The approach also enables vertical miniband transport of holes, satisfying device requirements.
Researchers have successfully produced a 3D image of a silicon crystalline sample using coherent X-rays from new synchrotron sources. This breakthrough enables high-resolution imaging of complex materials, such as biominerals and functional magnetic crystals, with unprecedented detail.
Scientists developed a new technique for single nanostructure circular dichroism spectroscopy using a nano-patterned liquid-crystal polarization grating, allowing for real-time tracking and analysis of individual functional units. The new method is equivalent to conventional CD spectroscopy and has high efficiency and accuracy.
Recent deep-learning-empowered spectral imaging techniques enable fast reconstruction within seconds, improving spectral resolution. The authors categorize methods into three groups based on light characteristics, facilitating further research.
Researchers developed an approach to measure the orbital angular momentum of intense vortex pulses using photoelectron momentum imaging via strong-field photoionization. They successfully characterized three different OAM modes and proposed a universal scheme for higher OAM detection, with minimal influence on the OAM states.
Scientists create novel phase-matching strategy to enable wide-tunable deep-UV SHG, covering 111 nm range, and demonstrate its potential in nonlinear optics and photonics applications.
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.
Scientists review key influence of various laser techniques on fluorescence properties across a range of nanomaterials. Laser-induced control over nanomaterial composition and dimension enables tunability in fluorescence colors. The study also explores instances where lasers convert non-fluorescing precursors to fluorescent forms.
Researchers have developed a new generation of microcantilever technology that enables precise hydrogen sensing with low humidity cross-sensitivity. The new design integrates a microcantilever beam into an optical fiber, resulting in smaller and cheaper devices with stronger signal processing capabilities.
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 created a nonvolatile approach for modulating interlayer excitons, enabling valley-addressable memory. The method uses chemical doping to create a hysteresis effect, allowing for long-term retention of valley-polarized information.
Scientists report a new class of chirp-free pulse in normal-dispersion fiber lasers containing a section of polarization-maintaining fiber. Simulation results reproduce experimental observations, demonstrating the formation mechanism and unique vector soliton property of birefringence-managed solitons.
Researchers successfully fabricated centimeter-scale optical fiber preforms using DLP 3D printing technology, enabling the creation of single-mode and multi-mode fibers. The team also explored doping elements to enhance luminescence properties, reducing fiber loss by controlling temperature and pressure during fabrication.
Researchers have successfully created high-quality, crack-free microstructures on silicon surfaces in the ductile regime using elliptical vibration cutting. The technique allows for high-aspect-ratio feature generation with minimal interference, enabling structural coloration and potential applications in displays, sensing, and more.