METHOD FOR RESOLVING COMPLEX, MULTISTEP ANTIBODY INTERACTIONS

    公开(公告)号:US20240019424A1

    公开(公告)日:2024-01-18

    申请号:US18451352

    申请日:2023-08-17

    CPC classification number: G01N33/54373 G01N33/6854 G01N2333/70535

    Abstract: Herein is reported a method for determining antibody-FcRn-interaction comprising the steps of immobilizing FcRn on a solid surface, which is suitable for surface plasmon resonance measurement, individually applying to the solid surface obtained in step a) solutions comprising the antibody at different concentrations and determining the association rate constant and the dissociation rate constant for each concentration, and determining with the rates obtained in step b) the KD-value of the antibody-FcRn-interaction, wherein the immobilized FcRn is monomeric FcRn, the monomeric FcRn is immobilized using functional (capture) groups that are directly attached to said solid surface, the solid surface is free of branched glucan, and the immobilization is at a pH value of from pH 7 to pH 8.

    Artifacts removal from tissue images

    公开(公告)号:US11854168B2

    公开(公告)日:2023-12-26

    申请号:US18054337

    申请日:2022-11-10

    Inventor: Eldad Klaiman

    Abstract: The method includes generating, for each of a plurality of original images, a first artificially degraded image by applying a first image-artifact-generation logic on each of the original images; and generating the program logic by training an untrained version of a first machine-learning logic that encodes a first artifacts-removal logic on the original images and their respectively generated first degraded images; and returning the trained first machine-learning logic as the program logic or as a component thereof. The first image-artifact-generation logic is A) an image-acquisition-system-specific image-artifact-generation logic or B) a tissue-staining-artifact-generation logic.

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