Method to obtain data cubes of low intensity intrinsic spectral images when imaging under high illumination conditions without the use of filters

    公开(公告)号:US10652484B1

    公开(公告)日:2020-05-12

    申请号:US16657937

    申请日:2019-10-18

    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.

    Method to obtain full range intrinsic spectral signatures for spectroscopy and spectral imaging

    公开(公告)号:US10337916B1

    公开(公告)日:2019-07-02

    申请号:US15949929

    申请日:2018-04-10

    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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