English

QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis

Quantitative Methods 2024-11-18 v3 Computer Vision and Pattern Recognition Image and Video Processing

Abstract

The integration of AI in digital pathology, particularly in whole slide image (WSI) and spatial transcriptomics (ST) analysis, holds immense potential for enhancing our understanding of diseases. Despite challenges such as training pattern preparation and resolution disparities, the convergence of these technologies can unlock new insights. We introduce QuST, a tool that bridges the gap between WSI and ST, underscoring the transformative power of this integrated approach in disease biology.

Cite

@article{arxiv.2406.01613,
  title  = {QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis},
  author = {Chao-Hui Huang and Sara Lichtarge and Diane Fernandez},
  journal= {arXiv preprint arXiv:2406.01613},
  year   = {2024}
}

Comments

18 pages, 14 figures

R2 v1 2026-06-28T16:51:43.140Z