SYSTEM AND METHOD FOR REAL-TIME, INTRA-PROCEDURAL, ENDOSCOPIC SHAFT MOTION TRACKING

    公开(公告)号:US20250134363A1

    公开(公告)日:2025-05-01

    申请号:US18494343

    申请日:2023-10-25

    Abstract: An endoscope tracker that measures the endoscope's motion using a pair of trackballs and two video cameras is provided. The trackballs measure real-time changes in the scope's position and rotation during an endoscopic procedure. The cameras detect scale lines on the scope's surface to correct accumulated trackball measurement errors. A dual modality tracking method measures the motion of the endoscope's insertion tube in real time, including insertion length, rotation angle, and their velocities. Optical trackballs measure the endoscope insertion tube's motion, and cameras correct cumulative errors. A purely optical endoscope tracker that measures the endoscope's motion is also provided, using video cameras and software that processes the images obtained from the video cameras to determine how the endoscope moves over time.

    Rapid Deep Learning-Based Flood Losses/Risk Prediction Tool, Methods of Making and Uses Thereof

    公开(公告)号:US20250060512A1

    公开(公告)日:2025-02-20

    申请号:US18807318

    申请日:2024-08-16

    Abstract: In some cases, flood risk quantification computing systems and methods are computationally intensive and in some cases are inaccurate. A flood risk computing system and method are provided that quantifies a flood vulnerability within a specified area of interest, irrespective of flood event characteristics; estimates and maps a flood hazard probability; integrates the flood vulnerability and the flood hazard probability to quantify a flood risk; and develops a rapid flood risk software tool, stored in the memory, to directly quantify flood risk characteristics using deep learning. The rapid flood risk took using a plurality of hierarchical deep neural networks.

    SYSTEMS AND METHODS TO FILTER OPTICAL WAVELENGTHS

    公开(公告)号:US20240388063A1

    公开(公告)日:2024-11-21

    申请号:US18785715

    申请日:2024-07-26

    Abstract: An optical grating comprising a refractive index with a periodic pattern that includes a base period Λ0; a periodic sampling of the base period, with a first period Λ1 and a first duty cycle p1, thereby defining a single-sampled grating (SSG); and a periodic sampling of the SSG, with a second period Λ2 and a second duty cycle p2. The resulting dual-sampled grating (DSG) can have a reflection spectrum containing reflection peaks. If two DSGs having different reflection spectra share a common interface, a tunable optical filter can be produced, where electrical or heating means can cause a reflection peak of one spectrum to be shifted to coincide with a reflection peak of the other spectrum, thereby filtering the corresponding wavelength. By inserting between the two DSGs a gain medium and a phase-tuning medium, a laser source structure is realized. Either device can be produced by etching or stacking methods.

    STARCH BASED NANOPARTICLES FOR PLANT DELIVERY
    167.
    发明公开

    公开(公告)号:US20240196887A1

    公开(公告)日:2024-06-20

    申请号:US18537567

    申请日:2023-12-12

    CPC classification number: A01N25/26 A01N43/84

    Abstract: This specification describes the modification of starch-based nanoparticles (SNPs) by introducing one or more reactive chemical groups onto the surface of SNPs. In some examples, the SNPs are hydrophobic and have a size in the range of 10-50 nm. The SNPs may be adapted for the delivery of agrochemical agents to plants. The SNPs created herein are attractive since they are generated from a sustainable source and are generally regarded as safe (GRAS) in terms of their degradation products once they break down. In some examples, the SNPs are based on SNPs produced by existing industrial-scale production.

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