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    Optical imaging system, methods, systems, and computer programs
    1.
    发明公开
    Optical imaging system, methods, systems, and computer programs 审中-公开

    公开(公告)号：US20240168274A1

    公开(公告)日：2024-05-23

    申请号：US18515339

    申请日：2023-11-21

    Applicant: Leica Microsystems CMS GmbH

    Inventor： Kai RITSCHEL ,  Mate BELJAN

    IPC: G02B21/36 ,  G02B21/26

    CPC classification number: G02B21/367 ,  G02B21/26

    Abstract: Embodiments of the present invention relate to an optical imaging system, and to methods, systems, and computer programs for such an optical imaging system. The methods comprise obtaining first image data of an imaging device of the imaging system, the first image data comprising a representation of a pattern. The methods comprise obtaining second image data of the pattern from the imaging device after the pattern has been displaced by a stage of the optical imaging system by a distance in a dimension defined relative to the stage. The methods comprise determining an offset between the patterns of the first and second image data in two dimensions. The methods comprise calculating a conversion parameter based on the offset and the distance. A first method comprises controlling a drive unit configured to displace the stage based on the conversion parameter.

    METHOD OF ANALYZING A MIXED FLUORESCENCE RESPONSE OF A PLURALITY OF FLUOROPHORES, FLUORESCENCE ANALYZER, FLUORESCENCE MICROSCOPE AND COMPUTER PROGRAM
    2.
    发明公开
    METHOD OF ANALYZING A MIXED FLUORESCENCE RESPONSE OF A PLURALITY OF FLUOROPHORES, FLUORESCENCE ANALYZER, FLUORESCENCE MICROSCOPE AND COMPUTER PROGRAM 审中-公开

    公开(公告)号：US20230175963A1

    公开(公告)日：2023-06-08

    申请号：US17994434

    申请日：2022-11-28

    Applicant: LEICA MICROSYSTEMS CMS GMBH

    Inventor： Benjamin DEISSLER ,  Christian SCHUMANN ,  Kai RITSCHEL ,  Mate BELJAN ,  Wernher FOUQUET ,  Gheorghe COJOC

    IPC: G01N21/64

    CPC classification number: G01N21/64 ,  G01N2201/127

    Abstract: A method of analyzing a mixed fluorescence response of a plurality of fluorophores in a microscopic sample includes reconstructing individual fluorescence responses from a mixed fluorescence response using spectral un-mixing based on reference emission spectra for fluorophores to be reconstructed, and a procedure for determining and validating reference emission spectra including providing a plurality of image acquisition settings for a sequence of images of the sample equal to, or greater than, the plurality of fluorophores and including an illumination setting for each image, acquiring the sequence of images using the plurality of image acquisition settings and storing each image together with the corresponding illumination setting, determining candidate reference emission spectra for the fluorophores to be reconstructed from the sequence of images of the sample using one or more reference emission spectra determination algorithms, and conditionally using the candidate reference emission spectra as the reference emission spectra in the spectral un-mixing.

    TRAINING A DENOISING MODEL FOR A MICROSCOPE
    3.
    发明申请
    TRAINING A DENOISING MODEL FOR A MICROSCOPE 有权

    公开(公告)号：US20230126326A1

    公开(公告)日：2023-04-27

    申请号：US17968819

    申请日：2022-10-19

    Applicant: LEICA MICROSYSTEMS CMS GMBH

    Inventor： Jose Miguel SERRA LLETI ,  Mate BELJAN

    IPC: G06T5/00

    Abstract: A computer-implemented method for training a denoising model for a microscope includes obtaining a plurality of training images with different image acquisition settings taken with the microscope, the plurality of training images including noise caused by the microscope's hardware, and training the denoising model using the plurality of training images obtained with different image acquisition settings, thereby making the denoising model specific to the microscope's hardware.

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