NANOPARTICLE BASELINE AND PARTICLE DETECTION THRESHOLD DETERMINATION THROUGH ITERATIVE OUTLIER REMOVAL

    公开(公告)号:US20230352288A1

    公开(公告)日:2023-11-02

    申请号:US18137549

    申请日:2023-04-21

    CPC classification number: H01J49/0036 H01J49/105

    Abstract: Systems and methods for iterative removal of outlier data from spectrometry data to determine one or more of a particle baseline and a detection threshold for nanoparticles are described. Ion signal intensity values that exceed an outlier threshold value associated with a sum of a first multiple of an average of the count distribution of ion signal intensity and a first multiple of a standard deviation of the count distribution of ion signal intensity are iteratively removed from the raw data set until no outliers remain, providing a background data set. A nanoparticle baseline intensity value is set as a sum of a second multiple of an average of the background data set and a second multiple of a standard deviation of the background data set to differentiate between signal intensity values that are associated with background interference and that are associated with the presence of nanoparticles in the sample.

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