stImage

stImage integrates gene expression data, histological features, and spatial coordinates through customizable deep learning-derived histology features and 54 integrative strategies to optimize spatial transcriptomic analysis.

Key Features:

• Deep learning-derived histology features: stImage generates deep learning-derived histology features from histology images for integration with other data modalities.
• 54 integrative strategies: stImage provides 54 integrative strategies that seamlessly combine transcriptional profiles, histology images, and spatial information.
• Diagnostic graph guidance: stImage uses a diagnostic graph to guide users toward the most suitable integration strategy for their dataset.

Scientific Applications:

• Spatial transcriptomic analysis optimization: stImage optimizes spatial transcriptomic analysis across multiple datasets with diverse conditions, consistently improving biological insights into tissue architecture.
• Tissue architecture understanding: stImage advances understanding of tissue biology by synergizing gene expression, histological features, and precise spatial coordinates within a unified framework.

Methodology:

stImage generates deep learning-derived histology features and implements 54 integrative strategies for combining transcriptional profiles, histology images, and spatial information; a diagnostic graph guides strategy selection.