Method and system for chromogenic array-based food testing

    公开(公告)号:US12265073B2

    公开(公告)日:2025-04-01

    申请号:US17292133

    申请日:2019-11-05

    Abstract: A chromogenic assay includes a substrate comprising an array of 5 or more dyes which react with volatile organic compounds, wherein the dyes are chromogenic when reacted with volatile organic chemical biomarkers, wherein the volatile organic chemical biomarkers comprise acids, alcohols, aldehydes, alkenes, amines, antioxidants, aromatic compounds, esters, ethylene, lactones, ketones, organosulfur compounds, sulfides, reactive oxygen species, terpenes, or a combination thereof. A method of detecting volatile organic chemical biomarkers includes contacting the chromogenic assay with a sample or sample headspace, wherein the sample or sample headspace is suspected of containing volatile organic chemical biomarkers, and identifying, based on a colorimetric pattern on the chromogenic assay after contacting, the source of the volatile organic chemical biomarkers. Also included are articles and systems including the chromogenic assay.

    High-speed autofocus control
    9.
    发明授权

    公开(公告)号:US12242169B2

    公开(公告)日:2025-03-04

    申请号:US18128532

    申请日:2023-03-30

    Abstract: Various examples are provided related to high-speed autofocus control. In one example, a method includes obtaining a first image of a target with a camera; adjusting focus of the camera by a specified AF bin step size; obtaining a second image of the target; adjusting focus of the camera by the specified AF bin step size; obtaining a third image of the target; determining an optimal focus using data of the second and third images; and adjusting focus of the camera to the optimal focus. In another example, a method includes generating an input vector comprising a sequence of input-output pairs associated with a piezoelectric controlled motion stage that can position a camera relative to a target; determine a control input for the motion stage using a LSTM backpropagation network trained to minimize a cost function over a defined prediction horizon; and applying the control input to the motion stage.

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