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<p>The integration of AI in digital pathology, particularly in whole slide image (WSI) and spatial transcriptomics (ST) analysis, holds immense potential for enhancing disease understanding. Despite challenges such as training pattern preparation and resolution disparities, the convergence of these technologies can unlock insights. We introduce QuST, a QuPath extension that bridges the gap between WSI and ST at single-cell level, highlighting the power of this integrated approach in disease biology.</p>

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Integrative whole slide image and spatial transcriptomics analysis with QuST and QuPath

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月12日

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  • Chao-Hui Huang,
  • Sara Lichtarge,
  • Diane Fernandez

摘要

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