CRISP enables comparisons of image-based spatial transcriptomicsegmentation quality across ten organs
James R Rose, Elex S. Harris, José A. F. Assumpção, Heather Pathak, Hannah E. Peck, Loren E. Sasser, Charmy J Patel, Daryll A. Vanover, Philip J. Santangelo
The paper benchmarks cell segmentation algorithms for spatial transcriptomics across ten mouse tissues, finding a tradeoff between transcript capture and cell purity, with Proseg performing best overall.
bioRxiv · Apr 21, 2026 · PreprintBioinformatics