1183-Cellist: Cell Segmentation for Spatial Transcriptomics

Paper Talk · Jun 25, 2026 · 17m

This technical report introduces Cellist, a multi-modal computational method designed to improve cell segmentation in high-resolution spatial transcriptomics. By integrating visual information from staining images with molecular expression data, the tool addresses the common challenge of transcript diffusion, which often leads to blurred boundaries and inaccurate cell identification. Research demonstrates that Cellist consistently outperforms existing methods across diverse platforms, such as Stereo-seq and 10x Xenium, by maintaining superior transcriptomic integrity and biological…