REDUCED FALSE POSITIVE IDENTIFICATION FOR SPECTROSCOPIC CLASSIFICATION

    公开(公告)号:US20210034838A1

    公开(公告)日:2021-02-04

    申请号:US17072437

    申请日:2020-10-16

    Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

    PORTABLE SPECTROMETER
    5.
    发明申请
    PORTABLE SPECTROMETER 有权
    便携式光谱仪

    公开(公告)号:US20160116399A1

    公开(公告)日:2016-04-28

    申请号:US14980914

    申请日:2015-12-28

    Abstract: A portable spectrometer device includes an illumination source for directing at a sample, and a tapered light pipe (TLP) for capturing light interacting with the sample at a first focal ratio and for delivering the light at a second focal ratio lower than the first focal ratio. A linearly variable filter (LVF) separates the captured. light into a spectrum of constituent wavelength signals; and a detector array, including a plurality of pixels, each of the plurality of pixels disposed to receive at least a portion of a plurality of the constituent wavelength signals provides a power reading for each constituent wavelength. Preferably, the TLP is lensed at one end, and recessed in a protective boot with stepped inner walls. The gap between the TLP and LVF is minimized to further enhance resolution and robustness.

    Abstract translation: 便携式光谱仪装置包括用于引导样品的照明源和用于以第一焦距比捕获与样品相互作用的光的锥形光管(TLP),并且以比第一焦距比低的第二焦距传送光 。 线性可变滤波器(LVF)分离捕获的。 光成波长信号的频谱; 以及包括多个像素的检测器阵列,所述多个像素中的每一个被设置为接收多个所述组成波长信号的至少一部分,为每个构成波长提供功率读数。 优选地,TLP在一端镜片,并且凹陷在具有阶梯状内壁的保护靴中。 TLP和LVF之间的差距被最小化以进一步提高分辨率和鲁棒性。

    TRANSFER OF A CALIBRATION MODEL USING A SPARSE TRANSFER SET

    公开(公告)号:US20200018648A1

    公开(公告)日:2020-01-16

    申请号:US16582538

    申请日:2019-09-25

    Abstract: A device may obtain a master calibration set, associated with a master calibration model of a master instrument, that includes spectra, associated with a set of samples, generated by the master instrument. The device may identify a selected set of master calibrants based on the master calibration set. The device may obtain a selected set of target calibrants that includes spectra, associated with the subset of the set of samples, generated by the target instrument. The device may create a transfer set based on the selected set of master calibrants and the selected set of target calibrants. The device may create a target calibration set, corresponding to the master calibration set, based on the transfer set. The device may generate, using an optimization technique associated with the transfer set and a support vector regression modeling technique, a transferred calibration model, for the target instrument, based on the target calibration set.

    REDUCED FALSE POSITIVE IDENTIFICATION FOR SPECTROSCOPIC CLASSIFICATION

    公开(公告)号:US20190236333A1

    公开(公告)日:2019-08-01

    申请号:US16130732

    申请日:2018-09-13

    Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

    TRANSFER OF A CALIBRATION MODEL USING A SPARSE TRANSFER SET

    公开(公告)号:US20180031421A1

    公开(公告)日:2018-02-01

    申请号:US15614110

    申请日:2017-06-05

    Abstract: A device may obtain a master calibration set, associated with a master calibration model of a master instrument, that includes spectra, associated with a set of samples, generated by the master instrument. The device may identify a selected set of master calibrants based on the master calibration set. The device may obtain a selected set of target calibrants that includes spectra, associated with the subset of the set of samples, generated by the target instrument. The device may create a transfer set based on the selected set of master calibrants and the selected set of target calibrants. The device may create a target calibration set, corresponding to the master calibration set, based on the transfer set. The device may generate, using an optimization technique associated with the transfer set and a support vector regression modeling technique, a transferred calibration model, for the target instrument, based on the target calibration set.

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