STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data
Fig 3
ConStitch provides comparable stitching performance to MIST and superior alignment performance to ASHLAR.
A-B) Stitching accuracy of MIST and ConStitch using the MIST evaluation framework, measuring differences in colony area (A) and colony position (B) compared to ground truth images. C) Alignment error of ASHLAR and ConStitch on ASHLAR evaluation dataset derived by breaking stitched and aligned images into 200 pixel by 200 pixel blocks, the alignment of which was evaluated between the two cycles with phase correlation. Histograms show magnitudes of alignment vectors for blocks in the resulting optical flow field. D-E) Stitching performance of ConStitch and ASHLAR on all imaging rounds of the MIST image set when aligned together. Area error and positional error are reported across the five imaging rounds. F) Percent area of well with less than 1 pixel of alignment error. Alignment error was measured as in (C), applied to each pair of cycles, taking the maximum error at each location. G) Histogram of alignment error on image set 1.1, calculated as in (C).