Researchers found that formalin fixation does not significantly alter the polarimetric properties of brain tissue, making it suitable for training machine-learning models. The study suggests that formalin-fixed brain tissue specimens can provide high-quality data for rapid and accurate diagnostic imaging in surgery.
Researchers at the University of Washington have developed a multifunctional interface between photonic integrated circuits and free space, allowing for simultaneous manipulation of multiple light beams. The device operates with high accuracy and reliability, enabling applications in quantum computing, sensing, imaging, energy, and more.
A study found that expert mammogram radiologists exhibit visual hindsight bias, leading to improved performance on blurry images after prior clear images were viewed. This bias can impact the detection of lesions and has implications for negligence lawsuits and patient outcomes.
A new source-device-independent quantum random number generator (QRNG) protocol has been developed, operating securely and independently of source devices. This allows for practical applications in secure quantum information tasks, with a reported generation rate of 4 megabits per second.
Researchers develop innovative data compression scheme to facilitate multispeckle diffuse correlation spectroscopy with high pixel resolutions, enabling non-invasive measurement of brain blood flow. The scheme uses field-programmable gate array compression to alleviate computational burdens and expand the use of SPAD cameras in biomedi...
A new high-speed two-photon microscope was developed with an unprecedented line scanning frequency of 400 kHz, achieving up to 10,000 frames per second. This allowed for precise observations of complex biological processes in living tissues, including calcium signal propagation and blood flow measurements.
Researchers demonstrate probabilistic computing's capabilities by simulating networks of stochastic nanodevices to solve specific NP problems. The simulations agree with theoretical solutions, indicating the potential for scaling up this approach.
A mobile application utilizing Python and a single-element ultrasound transducer has been developed for photoacoustic tomography (PAT) image reconstruction. The application successfully reconstructs high-quality images with signal-to-noise ratio values above 30 decibels, making it suitable for point-of-care diagnosis in low-resource se...
A team of experts identified 29 sources of bias in AI/ML models for medical imaging, including data collection, preparation, and deployment. The study provides a comprehensive roadmap for mitigating these biases and ensuring fairness, equity, and trust in AI/ML models.
Researchers have developed a non-invasive technique using laser speckle imaging to visualize microvasculature in donor hearts and detect abnormal blood flow. The method enables precise visualization of blood circulation, potentially identifying hearts suitable for transplantation.
A team from Nanjing University and Sun Yat-Sen University developed a two-facing Janus OPO scheme for generating high-efficiency, high-purity broadband LG modes with tunable topological charge. The output LG mode has a tunable wavelength between 1.5 μm and 1.6 μm, with a conversion efficiency above 15 percent.
Scientists create a simple approach to fabricating highly precise 3D aperiodic photonic volume elements (APVEs) for various applications. The method uses direct laser writing to arrange voxels of specific refractive indices in glass, enabling the precise control of light flow and achieving record-high diffraction efficiency.
Researchers from HKUST and CityU developed a metasurface to generate time-varying OAM beams with a time-dependent phase profile. This allows for a higher-order twist in the envelope wavefront structure, increasing capacity for applications such as dynamic particle trapping and information encryption.
Researchers have developed a novel photoelectrochemical ultraviolet photodetector that can detect two types of ultraviolet light using a multilayered nanostructure. The detector's performance can be regulated through light intensity and external bias, enabling easy adaptation to environmental changes.
Researchers develop a new technique to measure blood attenuation using a fluorophore-coated guidewire, improving the accuracy of near-infrared fluorescence in cardiovascular imaging. The method provides accurate information on vessel walls and outperforms existing correction methods.
A novel metasurface-based approach achieves dynamic dual-mode modulation of THz waves by varying the wavelength of pumping light. The device can realize mode-selective or mode-unselective modulations on incident THz waves, offering high modulation pixel resolution and ultrafast modulation speed.
This technology uses light and sound to create images of the inside of the body. The research team developed a novel method that eliminates the need for ultrasonic transducers, allowing for non-contact photoacoustic signal detection and improved sensitivity. The technique has great application potential in various biomedical research.
Researchers developed an all-optical quantum state sharing protocol that uses continuous variable systems to share secret information between multiple parties. The new method successfully implemented in a low-noise amplifier and demonstrated higher average fidelity than classical limits.
A new deep learning-based model estimates breast density with high precision, correlating it to cancer risk. The model's performance is comparable to that of human experts, but it can be trained faster and on smaller datasets.
A new technique combines machine learning with short-wave infrared fluorescence imaging to detect precise tumor boundaries with higher accuracy than traditional methods. The approach achieved a remarkable per-pixel classification accuracy of 97.5 percent and demonstrated robustness against changes in imaging conditions.
Researchers from China and Singapore study the radiative properties of polyamide-12, a common marine microplastic pollutant. They found that most of the incident radiation is scattered by PA12 particles, affecting ocean light transmission and marine ecology.
Researchers found that increasing melanin levels in human skin reduces Cherenkov emission intensity, while blood concentration affects different color channels. The study suggests using multispectral signatures to correct attenuated signals based on patient's blood volume or skin color.
Researchers developed temporal compressive super-resolution microscopy (TCSRM) to overcome optical diffraction's spatial resolution restriction. TCSRM achieves high-speed imaging at 1200 frames per second with a spatial resolution of 100 nanometers, enabling observation of fast dynamics in fine structures.
Researchers developed AI models based on UNet and MobileNet architectures to analyze standardized abnormalities in CT images, accurately identifying object presence and confidence. These models achieved an absolute percentage error of less than 5 percent, comparable to human professionals.
A novel AI architecture, relational reasoning network, accurately identifies anatomical landmarks in CT scans for orthodontic treatments. The model learns spatial relationships between landmarks without explicit image segmentation, achieving accuracy comparable to conventional methods.
A new AR system using HoloLens enables doctors to perform transperineal prostate interventions with high accuracy and flexibility. The system provides a 3D immersive experience, allowing doctors to guide needles to their target with ease.
Direct incorporation of a metasurface in a laser cavity enables spatiotemporally modulated laser pulses. Giant nonlinear saturable absorption allows pulsed laser generation via Q-switching process.
Researchers created adaptive optical phantoms by combining multiple pigments to mimic target tissue's optical properties, successfully validating them in extensive experiments. The new platform enables broader band spectra for emerging hybrid modalities and novel instruments.
Researchers employed computer vision to extract social behaviors and linked them to brain synchronization patterns in a novel approach. During cooperative play, brain synchronization was strongest when participants shared gaze, while individual play showed increased within-brain synchronization.
Researchers from Nanjing University have proposed the first scheme to practically generate N-photon states deterministically using a lithium-niobate-on-insulator platform. The scheme involves deterministic parametric down-conversion and demonstrates feasibility for generating multiphoton qubit states.
Scientists develop eigenmodes of structured light that remain undistorted even in turbulent channels, enabling robust transmission through noisy media. This breakthrough paves the way for future work in quantum light communication and imaging through complex systems.
A team of researchers developed a model-free approach using deep reinforcement learning to optimize estimation of multiple parameters in quantum sensors. The protocol achieved significantly better estimations compared to nonadaptive strategies, demonstrating enhanced performance in resource-limited regimes.
Researchers have developed a compact silicon photonic compute engine capable of computing tiled matrix multiplications at a record-high 50 GHz clock frequency. This achievement promises to contribute significantly to data center cybersecurity and enables real-time threat detection for malicious packets.
Researchers developed a method to measure individual biological response to therapy using functional near-infrared spectroscopy, enabling real-time evaluation of radiotherapy's impact on patients. This technique allows for tailored radiation doses to optimize treatment and improve outcomes.
Researchers developed a multimodal imaging-based tool, the active biopsy guidance system (ABGS), to improve oral cancer diagnosis. The ABGS provides clinically actionable direct visible guidance for biopsies, enhancing precision and potentially saving lives.
Researchers report the discovery of photonic hopfions, a new family of 3D topological solitons with freely tunable textures and numbers. These structures exhibit robust topological protection, making them suitable for applications in optical communications, quantum technologies, and metrology.
A new biopsy procedure is developed with a multispectral confocal endomicroscope to aid in lung tissue imaging. The system allows for simultaneous imaging of multiple fluorescent dyes, enabling unique identification and spectral unmixing.
A team of researchers has developed an experimental method to manipulate the Rydberg state excitation in hydrogen molecules using bicircular two-color laser pulses. By controlling the photon effect and field effect, they were able to generate Rydberg states while varying the extent to which each effect contributed to the process.
Researchers have developed shortwave-infrared and thermal imaging techniques to accurately diagnose active dental caries. SWIR-based approach shows superior results in detecting lesions, while thermal imaging proves less effective.
Researchers have developed a novel portable and low-cost macroscopic mapping system for all-optical cardiac electrophysiology using optogenetics and machine vision cameras. The system can stimulate and image engineered networks of human heart cells, providing insights into cardiac wave function and stability.
Researchers have developed a diffractive optical processor that can compute hundreds of transformations in parallel using wavelength multiplexing. The processor, which is powered by light instead of electricity, can execute multiple complex functions simultaneously at the speed of light.
The three-year effort aims to establish a widely accepted protocol for comparing lidar performance. The first year's tests evaluated range, accuracy, and precision of eight automotive-grade lidars using a survey-grade reference. Results showed the distribution of measured values was not Gaussian, with significant errors in some cases.
Researchers have developed an innovative amputated human limb model to evaluate molecularly targeted fluorescent probes for human tissues. The model allows for controlled testing of imaging agents with zero risk to patients, improving the accuracy and safety of surgical procedures.
Researchers have developed a new spectroscopy technique called filament- and plasma-grating-induced breakdown spectroscopy (F-GIBS), which improves the sensitivity of trace metal detection in liquid samples. The technique uses fluid jets to analyze aqueous solutions and achieves high precision by avoiding detrimental influences of liqu...
Scientists have created a novel approach to produce phase-pure quasi-2D Ruddlesden–Popper perovskites, enabling highly efficient and spectrally stable deep-blue-emissive perovskite LEDs. The rapid crystallization method yields high-performance devices with an emission wavelength centered at 437 nm.
Researchers developed a one-dimensional suspended high-contrast grating structure to enable directional lasing with high energy efficiency. The device can adjust the emission angle over a wide range, from -40° to +40°, making it suitable for solid-state LiDAR applications.
Researchers demonstrated high-visibility quantum interference between two independent semiconductor quantum dots, an important step toward scalable quantum networks. The observed interference visibility is up to 93%, paving the way for solid-state quantum networks with distances over 300 km.
A new parallel peripheral-photoinhibition lithography system has been developed, enabling the fabrication of subdiffraction-limit features with high efficiency. The system uses two beams to excite and inhibit polymerization, allowing for nonperiodic and complex patterns to be printed simultaneously.
Researchers developed a laser-based approach to perform microbiopsies, enabling fast, painless tissue sampling with minimal damage. The novel technique uses laser ablation to extract tiny tissue volumes, which can be analyzed using virtual H&E imaging and other techniques in minutes, not hours.
Researchers developed a photon-efficient volumetric imaging method, laterally swept light-sheet microscopy (iLSLM), which improves axial resolution and optical sectioning while reducing photobleaching. iLSLM outperforms conventional methods like swept focus light-sheet microscopy in terms of resolution and photon efficiency.