Invention Description Long-range imaging systems are often affected by atmospheric turbulence, which can introduce blur, distortion, and reduced image quality. Traditional turbulence simulators typically ignore depth-dependent variations, limiting their ability to accurately represent real-world imaging conditions. This lack of realism can hinder the...

Invention Description Accurately detecting and processing electromagnetic (EM) signals from moving sensors is challenging due to distortions caused by acceleration and nonuniform time sampling. These effects introduce frequency modulation, nonlinear phase shifts, and directional changes that degrade signal quality and make reconstruction difficult....

Invention Description Accurate liquid sample delivery is important for applications ranging from biomedical diagnostics to advanced X-ray and electron spectroscopy, scattering, and diffraction. Producing droplets with precise volume, timing, and placement offers significant advantages, including higher efficiency, lower sample consumption, and better...

Invention Description Long-range image analysis presents a significant challenge in computer vision, primarily due to atmospheric turbulence. The spatiotemporal variation in the medium's refractive index causes light ray bending, resulting in image degradation, specifically blurring and geometric deformation. Traditional estimation methods for...

Invention Description Both the generation of highly controlled electron beams and the visualization of optical modes in integrated photonic structures remain important challenges in modern nanoscience and photonics. Conventional photoemission sources operate in reflection or transmission geometries where light propagates perpendicular to the emitting...

Invention Description Multimodal large language models (MLLMs) have shown strong potential in analyzing complex data types such as images, video, and audio, prompting growing interest in their use for medical applications. While several general-domain MLLMs have been adapted for healthcare tasks, including retinal imaging, their performance remains...

Invention Description Conducting learning-based models on large-scale unstructured geometric data, particularly volumetric 3D meshes, remains a significant challenge. While previous methods have employed graph convolutional approaches, they suffer from high space complexity, limiting efficient mini-batch training, as well as fixed short-range feature...

Invention Description Detecting bright point scatterers is important to quality assessments of sonar, radar and medical imaging systems, particularly as it pertains to resolution characterization. Prominent, or coherent, scatterers are typically detected using thresholding techniques in addition to statistical measures in the detection processing chain....

Invention Description Accurately identifying and sequencing rare genotypes within complex cell populations remains a major challenge across biological research. Conventional sequencing approaches often require large amounts of high-quality DNA, struggle with heterogeneous or degraded samples, and fail to retain the spatial or cellular context necessary...

Background Ground-based snow monitoring stations have long supported water management, forecasting, and planning. Recent advancements in remote sensing technology have improved the ability to monitor snow cover at broader scales. Satellite imagery, such as that from the Moderate Resolutiion Imaging Spectroradiometer (MODIS), have been used to track...