Lamella End-Pointing Via Graph-Weighted Neural Networks

    公开(公告)号:US20250104410A1

    公开(公告)日:2025-03-27

    申请号:US18611256

    申请日:2024-03-20

    Applicant: FEI Company

    Abstract: Systems or techniques are provided for facilitating lamella end-pointing via graph-weighted neural networks. In various embodiments, a system can access an image captured by a scientific instrument, wherein the image depicts a cutface of a lamella. In various aspects, the system can generate, via execution of a graph-weighted neural network, a classification label for the cutface, wherein the classification label can indicate to which one of a plurality of defined classes the cutface belongs. In various instances, the system can, in response to the classification label indicating that the cutface does not belong to a target class of the plurality of defined classes, instruct the scientific instrument to incrementally mill the cutface of the lamella.

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