Systems and methods for spatial analysis of analytes using fiducial alignment

    公开(公告)号:US12229974B2

    公开(公告)日:2025-02-18

    申请号:US18046404

    申请日:2022-10-13

    Abstract: Systems and methods for spatial analysis of analytes are provided. A data structure is obtained comprising an image, as an array of pixel values, of a sample on a substrate having a identifier, fiducial markers and a set of capture spots. The pixel values are used to identify derived fiducial spots. The substrate identifier identifies a template having reference positions for reference fiducial spots and a corresponding coordinate system. The derived fiducial spots are aligned with the reference fiducial spots using an alignment algorithm to obtain a transformation between the derived and reference fiducial spots. The transformation and the template corresponding coordinate system are used to register the image to the set of capture spots. The registered image is then analyzed in conjunction with spatial analyte data associated with each capture spot, thereby performing spatial analysis of analytes.

    Systems and methods for spatial analysis of analytes using fiducial alignment

    公开(公告)号:US11501440B2

    公开(公告)日:2022-11-15

    申请号:US16951843

    申请日:2020-11-18

    Abstract: Systems and methods for spatial analysis of analytes are provided. A data structure is obtained comprising an image, as an array of pixel values, of a sample on a substrate having a identifier, fiducial markers and a set of capture spots. The pixel values are used to identify derived fiducial spots. The substrate identifier identifies a template having reference positions for reference fiducial spots and a corresponding coordinate system. The derived fiducial spots are aligned with the reference fiducial spots using an alignment algorithm to obtain a transformation between the derived and reference fiducial spots. The transformation and the template corresponding coordinate system are used to register the image to the set of capture spots. The registered image is then analyzed in conjunction with spatial analyte data associated with each capture spot, thereby performing spatial analysis of analytes.

    SYSTEMS AND METHODS FOR SPATIAL ANALYSIS OF ANALYTES USING FIDUCIAL ALIGNMENT

    公开(公告)号:US20210158522A1

    公开(公告)日:2021-05-27

    申请号:US16951843

    申请日:2020-11-18

    Abstract: Systems and methods for spatial analysis of analytes are provided. A data structure is obtained comprising an image, as an array of pixel values, of a sample on a substrate having a identifier, fiducial markers and a set of capture spots. The pixel values are used to identify derived fiducial spots. The substrate identifier identifies a template having reference positions for reference fiducial spots and a corresponding coordinate system. The derived fiducial spots are aligned with the reference fiducial spots using an alignment algorithm to obtain a transformation between the derived and reference fiducial spots. The transformation and the template corresponding coordinate system are used to register the image to the set of capture spots. The registered image is then analyzed in conjunction with spatial analyte data associated with each capture spot, thereby performing spatial analysis of analytes.

    SYSTEMS AND METHODS FOR CALLING CELL-ASSOCIATED BARCODES

    公开(公告)号:US20220028492A1

    公开(公告)日:2022-01-27

    申请号:US17384407

    申请日:2021-07-23

    Inventor: Narek Dshkhunyan

    Abstract: Methods and systems for removing aggregates from a dataset can be provided. For example, method for removing aggregates can comprise: receiving a first dataset comprising a plurality of sequence reads; grouping the plurality of sequence reads into bins, wherein each bin comprises sequence reads that share a common barcode sequence; identifying a subset of barcode sequences from the bins as aggregates by tracking correction events of sequence reads; removing the subset of barcode sequences from the first dataset to obtain a second dataset of sequence reads.

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