SpatialFinder: A Human-in-the-Loop Vision-Language Framework for Prioritizing High-Value Regions in Spatial Transcriptomics
Jonathan Xu, Michelle Jiang, Shunsuke Koga, Nancy Ruonan Zhang, Zhi Huang
SpatialFinder uses a vision-language model with human feedback to prioritize high-value regions in H&E slides for spatial transcriptomics, improving ROI selection accuracy.
Frontiers in Bioinformatics · Apr 15, 2026Peer-reviewedBioinformatics