CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics

Xenium, a new spatial transcriptomics platform, enables subcellular-resolution profiling of complex tumor tissues. Despite the rich morphological information in histology images, extracting robust cell-level features and integrating them with spatial transcriptomics data remains a critical challenge. We introduce CellSymphony, a flexible multimodal framework that leverages foundation model-derived embeddings from both Xenium transcriptomic profiles and histology images at true single-cell resolution. By learning joint representations that fuse spatial gene expression with morphological context, CellSymphony achieves accurate cell type annotation and uncovers distinct microenvironmental niches across three cancer types. This work highlights the potential of foundation models and multimodal fusion for deciphering the physiological and phenotypic orchestration of cells within complex tissue ecosystems.

Publication Details

Journal
ArXiv.org
Published
2025-08-13
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics

ArXiv.org
Single-cell and spatial transcriptomics
article

CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics

article en

Abstract

Xenium, a new spatial transcriptomics platform, enables subcellular-resolution profiling of complex tumor tissues. Despite the rich morphological information in histology images, extracting robust cell-level features and integrating them with spatial transcriptomics data remains a critical challenge. We introduce CellSymphony, a flexible multimodal framework that leverages foundation model-derived embeddings from both Xenium transcriptomic profiles and histology images at true single-cell resolution. By learning joint representations that fuse spatial gene expression with morphological context, CellSymphony achieves accurate cell type annotation and uncovers distinct microenvironmental niches across three cancer types. This work highlights the potential of foundation models and multimodal fusion for deciphering the physiological and phenotypic orchestration of cells within complex tissue ecosystems.

ArXiv.org
Life in Land
Openalex Percentile: Top 51%
Single-cell and spatial transcriptomics
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