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

Chao-Hui Huang, Sara Lichtarge, Diane Fernandez
5/31/2024
q-bio.QMcs.CVeess.IV

No official code found. Best implementation: huangch/qust (35 stars, last commit 2025-06-22).

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.

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Code Implementations(1)

huangch/qustCommunity100%

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

353Java, PythonJun 29, 20241 years ago

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Cite this paper

@article{huang2024qust,
  title  = {QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis},
  author = {Chao-Hui Huang and Sara Lichtarge and Diane Fernandez},
  year   = {2024},
  eprint = {2406.01613},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.01613v3}
}

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