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公开(公告)号：US11355336B2
公开(公告)日：2022-06-07
申请号：US17174968
申请日：2021-02-12
摘要： A method of performing time-of-flight secondary ion mass spectrometry on a sample includes the step of directing a beam of primary ions to the sample, and stimulating the migration of ions within the sample while the beam of primary ions is directed at the sample. The stimulation of the ions is cycled between a stimulation state and a lower stimulation state. Secondary ions emitted from the sample by the beam of primary ions are collected in a time-of-flight mass spectrometer. Time-of-flight secondary ion mass spectrometry is then performed on the secondary ions. A system for performing time-of-flight secondary ion mass spectrometry on a sample is also disclosed.
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公开(公告)号：US20210384021A1
公开(公告)日：2021-12-09
申请号：US17337919
申请日：2021-06-03
申请人： UT-Battelle, LLC
IPC分类号： H01J49/00 , G06N20/00 , G06N5/04 , H01J49/16 , G01N23/2258
摘要： Machine learning approach can combine mass spectral imaging (MSI) techniques, one with low spatial resolution but intact molecular spectra and the other with nanometer spatial resolution but fragmented molecular signatures, to predict molecular MSI spectra with submicron spatial resolution. The machine learning approach can perform transformations on the spectral image data of the two MSI techniques to reduce dimensionality, and using a correlation technique, find relationships between the transformed spectral image data. The determined relationships can be used to generate MSI spectra of desired resolution.
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公开(公告)号：US12057304B2
公开(公告)日：2024-08-06
申请号：US17337919
申请日：2021-06-03
申请人： UT-Battelle, LLC
IPC分类号： H01J49/00 , G01N23/2258 , G06N5/04 , G06N20/00 , H01J49/16
CPC分类号： H01J49/0036 , G01N23/2258 , G06N5/04 , G06N20/00 , H01J49/0004 , H01J49/164 , G01N2223/07 , G01N2223/40
摘要： Machine learning approach can combine mass spectral imaging (MSI) techniques, one with low spatial resolution but intact molecular spectra and the other with nanometer spatial resolution but fragmented molecular signatures, to predict molecular MSI spectra with submicron spatial resolution. The machine learning approach can perform transformations on the spectral image data of the two MSI techniques to reduce dimensionality, and using a correlation technique, find relationships between the transformed spectral image data. The determined relationships can be used to generate MSI spectra of desired resolution.
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公开(公告)号：US20210257205A1
公开(公告)日：2021-08-19
申请号：US17174968
申请日：2021-02-12
摘要： A method of performing time-of-flight secondary ion mass spectrometry on a sample includes the step of directing a beam of primary ions to the sample, and stimulating the migration of ions within the sample while the beam of primary ions is directed at the sample. The stimulation of the ions is cycled between a stimulation state and a lower stimulation state. Secondary ions emitted from the sample by the beam of primary ions are collected in a time-of-flight mass spectrometer. Time-of-flight secondary ion mass spectrometry is then performed on the secondary ions. A system for performing time-of-flight secondary ion mass spectrometry on a sample is also disclosed.
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