Training data generation for artificial intelligence-based sequencing

A non-transitory computer readable memory including instructions that, when executed by at least one processor, cause a system to implement actions for determining metadata about clusters on a tile of a flow cell, the actions comprising:

• accessing a set of images of the tile captured during a sequencing run and preliminary center coordinates of the clusters determined by a base caller;
• for each image set, obtaining, from the base caller, a base call classifying, as one of four bases, origin subpixels that contain the preliminary center coordinates and
• a predetermined neighborhood of contiguous subpixels that are successively contiguous to respective ones of the origin subpixels,
• thereby producing a base call sequence for each of the origin subpixels and for each of the predetermined neighborhood of contiguous subpixels;
• generating a cluster map that identifies the clusters as disjointed regions of contiguous subpixels that are successively contiguous to at least some of the respective ones of the origin subpixels and share a substantially matching base call sequence of the one of four bases with the at least some of the respective ones of the origin subpixels;
• and
• storing the cluster map in memory for use determining shapes and sizes of the clusters.

A computer-implemented system including:

• at least one processor;
• a non-transitory computer readable memory including instructions that, when executed by at least a processor, cause the computer-implemented system to implement actions for determining metadata about clusters on a tile of a flow cell, the actions comprising:
• accessing a set of images of the tile captured during a sequencing run and preliminary center coordinates of the clusters determined by a base caller;
• for each image set, obtaining from the base caller, a base call classifying, as one of four bases, origin subpixels that contain the preliminary center coordinates and a predetermined neighborhood of contiguous subpixels that are successively contiguous to respective ones of the origin subpixels, thereby producing a base call sequence for each of the origin subpixels and for each of the predetermined neighborhood of contiguous subpixels;
• generating a cluster map that identifies the clusters as disiointed regions of contiguous subpixels that are successively contiguous to at least some of the respective ones of the origin subpixels and share a substantially matching base call sequence of the one of four bases with the at least some of the respective ones of the origin subpixels;
• and
• storing the cluster map in memory for use determining shapes and sizes of the clusters.