Integrative whole slide image and spatial transcriptomics analysis with QuST and QuPath
Abstract 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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00841-9 |
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| Summary: | Abstract 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. |
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| ISSN: | 2397-768X |