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    Image-Based Assay Using Mark-Assisted Machine Learning
    22.
    发明申请
    Image-Based Assay Using Mark-Assisted Machine Learning 有权

    公开(公告)号：US20210392244A1

    公开(公告)日：2021-12-16

    申请号：US17179319

    申请日：2021-02-18

    Applicant: Essenlix Corporation

    Inventor： Stephen Y. Chou ,  Wei Ding ,  Yufan Zhang ,  Ji Qi ,  Jun Tian ,  Wei Dong

    IPC: H04N5/225 ,  G01N21/84

    Abstract: The present disclosure relates to devices, apparatus and methods of improving the accuracy of an image-based assay. One aspect of the present invention is to sandwich a sample between two plates and add reference marks in the sample areas of the plates, with at least one of the geometric and/optical properties of the reference marks being predetermined and known, and taking images of the sample with the reference marks, and applying a machine learning model in the analysis of the image-based assay.

    Homogeneous Assay
    24.
    发明申请
    Homogeneous Assay 有权

    公开(公告)号：US20250076293A1

    公开(公告)日：2025-03-06

    申请号：US18954475

    申请日：2024-11-20

    Applicant: Essenlix Corporation

    Inventor： Stephen Y. Chou ,  Wei Ding ,  Yufan Zhang ,  Ji Li ,  Ji Qi ,  Jun Tian

    IPC: G01N33/543 ,  G06T7/00

    Abstract: Among other things, the present invention is related to devices and methods of performing biological and chemical assays, such as but not limited to immunoassays and nucleic assay acid, particularly the homogeneous assay that does not use the step of wash and that is fast (e.g. 60 seconds from dropping a sample to displaying results).

    Image-Based Assay Using Mark-Assisted Machine Learning
    27.
    发明申请
    Image-Based Assay Using Mark-Assisted Machine Learning 有权

    公开(公告)号：US20220407988A1

    公开(公告)日：2022-12-22

    申请号：US17896973

    申请日：2022-08-26

    Applicant: Essenlix Corporation

    Inventor： Stephen Y. Chou ,  Wei Ding ,  Yufan Zhang ,  Ji Qi ,  Jun Tian ,  Wei Dong

    IPC: H04N5/225 ,  G01N21/84

    Abstract: The present disclosure relates to devices, apparatus and methods of improving the accuracy of an image-based assay. One aspect of the present invention is to sandwich a sample between two plates and add reference marks in the sample areas of the plates, with at least one of the geometric and/optical properties of the reference marks being predetermined and known, and taking images of the sample with the reference marks, and applying a machine learning model in the analysis of the image-based assay.

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