MULTI-RESOLUTION IN SITU DECODING
    1.
    发明公开

    公开(公告)号:US20240331348A1

    公开(公告)日:2024-10-03

    申请号:US18737862

    申请日:2024-06-07

    CPC classification number: G06V10/60 G06T3/40 G06T7/70 G06V10/19 G06V20/693

    Abstract: Methods and systems for performing multi-resolution in situ decoding are described. The method may comprise, for example, acquiring at least one first image of a biological sample at a first optical resolution; identifying locations for a plurality of target analytes based on the at least one first image; acquiring at least one second image of the biological sample at a second optical resolution in at least one decoding cycle of a plurality of decoding cycles used for in situ decoding of the target analytes; and extracting signal intensity data for signals associated with all or a portion of the target analytes from the at least one second image based on the locations for the target analytes identified in the at least one first image. In some instances, the method may further comprise using the signal intensity data extracted from the at least one second image to decode the target analytes.

    SPECTRAL UNMIXING COMBINED WITH DECODING FOR SUPER-MULTIPLEXED IN SITU ANALYSIS

    公开(公告)号:US20240305314A1

    公开(公告)日:2024-09-12

    申请号:US18660149

    申请日:2024-05-09

    CPC classification number: H03M13/3753 G01N21/6456 G01N2021/6471

    Abstract: Techniques for spectral unmixing and decoding for in situ analysis are provided. Input hypercube data comprising voxel data, raw channel data, and decoding round data are obtained, and an initial iteration of codeword data determination is performed. Performing the initial iteration includes generating initial feature data and initial unmixed fluorescence data, generating initial uncorrected codeword data, and generating initial corrected codeword data. One or more subsequent iterations of codeword data determination are then performed based on the input hypercube data and based on feature data, unmixed fluorescence data, uncorrected codeword data, and corrected codeword data from one or more previous iterations. When it is determined that one or more convergence conditions have been satisfied, output comprising an optimized estimate of fluorescence data, and an optimized estimate of uncorrected codeword data, and an optimized estimate of corrected codeword data is generated.

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