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公开(公告)号:US10652484B1
公开(公告)日:2020-05-12
申请号:US16657937
申请日:2019-10-18
Applicant: Center for Quantitative Cytometry
Inventor: Abraham Schwartz , Philip Sherman , Adolfas Gaigalas , Peter Ingram
Abstract: The invention provides a method of obtaining data cubes such that elimination of the irrelevant portion of the illumination reveals the low intensity intrinsic spectral components. The method obtains target and reference data cubes using a single camera and of a single field of view so that low-level intrinsic spectral components may be detected and enhanced under conditions of high illumination intensity without the use of filters. Two exposures in rapid succession of the same field of view at the same camera settings are taken, one exposure of the target is taken under coherent conditions where the field of view is in focus, and the second exposure is of the same field of view taken under non-coherent conditions where the target is defocused such that it has no discernible spatial features in the field of view. Residual spectra previously determined is added to the defocus spectra in the defocus data cube of the target of interest resulting in an adjusted reference spectra, which in turn is subtracted from the corresponding focused spectra in the focused data cube of the target of interest resulting in a focused target data cube each of whose pixels is associated with its intrinsic spectrum.
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公开(公告)号:US10337916B1
公开(公告)日:2019-07-02
申请号:US15949929
申请日:2018-04-10
Applicant: Center for Quantitative Cytometry
Inventor: Abraham Schwartz , Adolfas K. Gaigalas , Peter Ingram
Abstract: A method is provided to obtain a full range intrinsic spectral signature for spectroscopy and spectral imaging. The method eliminates the irrelevant spectral components and is used to normalize the spectral intensities across the full wavelength ranges obtained from different instrumentation. The method determines the intrinsic instrument noise levels and the noise level across the spectral range is averaged for each spectrum. By determining the percent of the integrated instrument noise relative to the integrated illumination energy for each instrument, the instrument noise can be normalized to one common value and the intensity values of the intrinsic sample spectra can be normalized proportionately and combined into a continuous intrinsic spectrum across the wavelength ranges of the contributing instruments. The methodology is also implemented in spectral imaging and spectral data cubes.
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公开(公告)号:US09998636B2
公开(公告)日:2018-06-12
申请号:US15588602
申请日:2017-05-06
Applicant: Center for Quantitative Cytometry
Inventor: Abraham Schwartz , Philip Sherman , Peter Ingram
CPC classification number: H04N5/2173 , G01J3/2823 , G01J2003/2826 , G06T5/002 , G06T5/50 , H04N5/217 , H04N5/23229 , H04N5/332 , H04N9/09
Abstract: The present invention is a method of removing the illumination and background spectral components thus isolating spectra from multi-spectral and hyper-spectral data cubes. The invention accomplishes this by first balancing a reference and sample data cubes for each spectra associated with each location, or pixel/voxel, in the spatial image. The set of residual spectra produced in the balancing step is used to obtain and correct a new set of reference spectra that is used to remove the illumination and background components in a sample data cube.
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公开(公告)号:US20180020129A1
公开(公告)日:2018-01-18
申请号:US15588602
申请日:2017-05-06
Applicant: Center for Quantitative Cytometry
Inventor: Abraham Schwartz , Phillip Sherman , Peter Ingram
CPC classification number: H04N5/2173 , G01J3/2823 , G01J2003/2826 , G06T5/002 , G06T5/50 , H04N5/217 , H04N5/23229 , H04N5/332 , H04N9/09
Abstract: The present invention is a method of removing the illumination and background spectral components thus isolating spectra from multi-spectral and hyper-spectral data cubes. The invention accomplishes this by first balancing a reference and sample data cubes for each spectra associated with each location, or pixel/voxel, in the spatial image. The set of residual spectra produced in the balancing step is used to obtain and correct a new set of reference spectra that is used to remove the illumination and background components in a sample data cube.
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