Researchers use water as a nonlinear medium to create a supercontinuum white laser covering an impressive spectral range from UV to far infrared. The resulting ultrabroadband source has potential in ultrafast spectroscopy, hyperspectral imaging, and scientific research.
The review discusses the optical aspects of QPAT, including mathematical models for light propagation and interaction with biological tissues. The authors outline two approaches to estimating chromophore concentrations from absorbed optical energy density data, highlighting the challenges associated with practical implementation, such ...
Researchers have developed a thermal management technique for photonic packages using glass substrates and thermoelectric vias, enabling precise temperature control. The technology, termed SimTEC, combines through glass vias partially filled with copper and thermoelectric materials to reduce thermal resistance between chips.
The report highlights key applications and pathways to commercialization for emerging PV technologies, including new materials and device concepts. It also discusses strategies to exceed current limits in solar PV energy conversion and challenges facing efforts to scale up globally.
A team of scientists used functional near-infrared spectroscopy (fNIRS) to measure brain activity in two key visual regions, the lateral occipital complex (LOC) and fusiform face area (FFA). The study found that fNIRS successfully measured LOC activity but had limitations in detecting FFA activity due to its depth. This research has th...
Researchers have developed a method to coherently tile multiple titanium:sapphire crystals together, breaking through the current 10-petawatt limit. This technology enables ultra-intense ultrashort lasers with high conversion efficiencies, stable energies, and broadband spectra.
A novel transparent spectral converter, GdPO4-GC:Eu3+/Pr3+, absorbs UV photons and re-emits them as visible light, increasing photovoltaic devices' conversion efficiency. This technology shields PCs from UV damage and enhances their sensitivity to UV photons.
A research team developed an innovative optical technique, 'spectrum shuttle,' to produce and shape GHz burst pulses. The method facilitates ultrafast imaging within subnanosecond timescales, enabling analysis of rapid phenomena.
A team of researchers at Ghent University and imec developed a silicon photonic temperature sensor that measures up to 180°C. The sensor was realized in the framework of the European SEER project, where partners focus on integrating optical sensors in manufacturing routines for composite parts.
Researchers develop a versatile imaging system for targeted spectroscopy in the eye fundus, allowing for continuous color imaging and spectral measurements. The system enables users to select targets and move them to any location within the eye fundus region without realignment or fixation changes.
The study found that 3D integration can lead to significant heat spreading and crosstalk, reducing heater efficiency by up to -43.3% and increasing thermal crosstalk by up to +44.4%. However, optimizing design variables, such as spacing between µbumps and interconnect linewidth, can minimize the thermal penalty of 3D integration.
Researchers developed three diffractive deep neural networks using orbital angular momentum to recognize objects in images, achieving accuracy comparable to wavelength and polarization-based models. The technology has potential for real-time processing applications like image recognition and data-intensive tasks.
Researchers developed a deep convolutional neural network to pinpoint cardiac catheter tip locations in photoacoustic images, achieving high precision and recall. The approach has the potential to replace fluoroscopy during cardiac interventions, leading to safer procedures.
Researchers introduced a cost-effective solution to correct tilt and curvature errors in two-photon polymerization 3D printing. The method uses Fourier scatterometry, which offers lower uncertainties than traditional methods, resulting in improved image quality and precision.
A new deblurring algorithm has been developed to improve the resolution of microscopy images without amplifying noise. This breakthrough technique, called 'deblurring by pixel reassignment,' uses local gradients to sharpen images while preserving larger structures.
A new method called TWC-Swin effectively restores holographic images even under low spatial coherence and arbitrary turbulence, surpassing traditional convolutional network-based methods. The study demonstrates strong generalization capabilities, extending its application to unseen scenes.
Researchers have developed an integrated THz vortex beam emitter to detect rotating targets with remarkable precision. The system uses spiraling electromagnetic waves with orbital angular momentum to accurately measure the speed of a rotating object, with a maximum margin of error of just around 2 percent.
Advances in VR display technology have overcome the 'screen door effect' by introducing 2117 PPI LCDs with high partition mini LED backlighting. This enhances contrast, color accuracy, and viewing angles, making VR experiences more immersive.
The development of a new photonic technique enables the precise control of photonic angular momentum, allowing for the efficient recognition and real-time control of total angular momentum modes. The technique, which involves the symmetrical cascading of two units, has been experimentally demonstrated to recognize up to 42 individual T...
Researchers at Nanjing University have developed a miniaturized FSO system achieving an astonishing 9.16 Gbps bandwidth over 1 km link using readily available commercial fiber transceiver modules. The system enables automatic tracking and precision acquisition, eliminating the need for optical amplification.
Researchers propose a new way to control moiré flatbands by adjusting the band offset of two photonic lattices, enabling the creation of novel multiresonant moiré devices. This breakthrough opens new opportunities in moiré photonics and promises to inspire future explorations into innovative moiré devices.
A new strategy optimizes optical and electrical characteristics of thin c-Si solar cells, improving conversion efficiency by 28% compared to industrial thick counterparts. The proposed design uses a layer transfer method and metal nanofilms for enhanced light absorption and surface passivation.
Researchers have developed high-resolution near-eye displays with integrated light field technology, overcoming limitations of earlier displays. The new designs feature improved resolution, pixel density, and vision correction capabilities, resulting in enhanced visual comfort and immersive VR experiences.
A new approach for coupling different light modes enables unprecedented data transfer rates in an MDM system. By using a gradient-index metamaterial waveguide, researchers achieved a high coupling coefficient and created a 16-channel MDM communication system with a data transfer rate of 2.162 Tbit/s.
Scientists have developed a nonrelativistic and nonmagnetic mechanism for generating terahertz waves, harnessing the electrical anisotropy of two conductive oxides. This approach produces signals comparable to commercial terahertz sources and offers a high terahertz conversion efficiency.
Researchers developed a new imaging technique using Bessel beam two-photon microscopy to detect stalling in brain capillaries, which can indicate acute neurological issues. The approach generates clear images of all capillaries every two seconds, providing better temporal resolution and enabling the detection of short stalling events.
A new imaging technique, multifocal acoustic radiation force-based reverberant optical coherence elastography (RevOCE), has been developed to measure the elasticity of multiple eye components simultaneously. This approach offers high resolution measurements of the stiffness of eye structures and could revolutionize how we study ocular ...
Researchers have generated nearly deterministic OAM-based entangled states using QDs, enabling hybrid entanglement states in high-dimensional Hilbert spaces. This breakthrough offers a bridge between photonic technologies for quantum advancements.
Researchers developed a noninvasive technique to visualize and differentiate nerve tissue using multispectral photoacoustic imaging. The study revealed the optimal wavelengths for identifying nerve tissue, which could improve nerve detection and segmentation techniques.
Researchers developed a photoelectrochemical technique to precisely tune the lasing wavelength of microdisk lasers with subnanometric accuracy. The new approach facilitates the fabrication of micro- and nano-laser batches with precise emission wavelengths.
Researchers at Shanghai Jiao Tong University have developed a new scattering matrix method that can sculpt light output with minimal optimization time. The method offers unparalleled nonlinear scattered light control, enabling high-resolution scanning microscopy and particle trapping through dense, scattering media.
A hybrid system of electronic encoding and diffractive optical decoding transmits optical information with high fidelity through random, unknown diffusers. The system outperforms traditional approaches that only utilize a diffractive optical network or an electronic neural network for optical information transfer.
Scientists have successfully measured the speed of molecular charge migration in a carbon-chain molecule, revealing a movement of several angstroms per femtosecond. The study used a two-color high harmonic spectroscopy scheme with machine learning reconstruction to achieve a temporal resolution of 50 as.
Researchers developed a deep-learning model to assess CXR images for probable COVID-19 severity. The model achieved an area under the receiver operating characteristic curve of 0.78 when predicting intensive care need within 24 hours.
Researchers demonstrate the potential of optical imaging for safely measuring vocal fold elasticity and pliability. The study found good agreement between Brillouin microspectroscopy results and conventional elasticity measurements.
Researchers have developed a new measurement technique that uses the Kramers-Kronig relation to untangle complex helical light patterns from camera intensity measurements. This allows for single-shot retrieval of orbital angular momentum spectrum information, accelerating and simplifying the process compared to conventional on-axis int...
Researchers developed an innovative optical tool, the Schistoscope, to capture microscopy images of urine samples for efficient detection of Schistosoma haematobium eggs. A two-stage diagnostic framework using deep learning accurately identified and counted eggs in field settings with high sensitivity, specificity, and precision.
A breakthrough in photonic memory has been achieved, enabling fast volatile modulation and nonvolatile weight storage for rapid training of optical neural networks. The 5-bit photonic memory utilizes a low-loss PCM antimonite to achieve rapid response times and energy-efficient processing.
A new complex-domain neural network enhances large-scale coherent imaging by exploiting latent coupling information between amplitude and phase components. The technique reduces exposure time and data volume significantly while maintaining high-quality reconstructions.
A new approach boosts light absorption in thin silicon photodetectors with photon-trapping structures, increasing the absorption efficiency over a wide band in the NIR spectrum. The findings demonstrate a promising strategy to enhance the performance of Si-based photodetectors for emerging photonics applications.
Metalenses have been developed with differentiated design principles to eliminate chromatic aberration. By merging bright spots into a single focusing spot, researchers achieved an efficiency of up to 43% and demonstrated the versatility of their approach for various optical applications.
Researchers develop a new technique to detect circulating tumor cells in blood, overcoming noise issues with existing methods. The dual-ratio approach enhances penetration range and accuracy, paving the way for quicker diagnosis of metastasis.
Researchers have proposed an innovative solution to address limitations of lidar technology, enabling imaging in low SNR environments. The novel technique uses a high-scanning speed AOD and metasurface-enhanced scanning lidar, extending ambiguity range by up to 35 times.
A new geometric deep learning model called GFCN has been developed to detect stroke lesions in brain imaging scans. The model leverages rich geometric information to segment brain tissue and achieves higher segmentation performance than other neural network architectures.
Researchers have made groundbreaking progress in confining light to subnanometer scales using a novel waveguiding scheme. The approach generates an astonishingly efficient and confined optical field with applications in light-matter interactions, super-resolution nanoscopy, and ultrasensitive detection.
Researchers successfully fabricate a microlens on a single-mode polarization-stable VCSEL chip using 2-photon-polymerization 3D printing, reducing beam divergence from 14.4° to 3° and enabling compact optical gas sensors with improved performance.
Lead-free Cs3MnBr5 anti-perovskite nanocrystals embedded in glass matrices enable tunable emission and ultra-stable X-ray imaging. The results achieve exceptional X-ray detection limits, spatial resolutions, and dose irradiation stability.
Researchers have implemented Orbital Angular Momentum (OAM) as an independent information carrier for optical holography, leading to OAM multiplexed holography. The new design approach, MHC-OAM, uses spatial light modulators to achieve multiramp helical conical beams with different parameters serving as information encryption or decryp...
Researchers have developed a groundbreaking photonic integrated circuit chip that combines light source, modulator, photodiode, waveguide, and Y-branch splitter on a single substrate. The GaN-on-silicon platform reduces fabrication complexity and cost, enabling compact and high-performing devices.
A research team from Taiwan has found a way to massively speed up aerial image simulations using wavelength scaling and fast Fourier transformation. The new algorithm improves computation speed by 4000-5000 times while maintaining only a slight intensity deviation.