Multimodal whole slide image processing pipeline for quantitative mapping of tissue architecture and tissue microenvironment.

npj Imaging Pub Date : 2025-06-10 eCollection Date: 2025-01-01 DOI:10.1038/s44303-025-00088-w
Maomao Chen, Hongqiang Ma, Xuejiao Sun, Marc Schwartz, Randall E Brand, Jianquan Xu, Dimitrios S Gotsis, Phuong Nguyen, Beverley A Moore, Lori Snyder, Rhonda M Brand, Yang Liu
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Abstract

Multi-modal, multiscale imaging is crucial for quantitative high-content spatial profiling. We present an integrated image processing pipeline for comprehensive tissue analysis that combines quantitative phase microscopy for tissue architecture mapping, hyper-plex fluorescence imaging for immune microenvironment profiling, and whole-slide histopathology. This approach enables detailed morphological mapping of tissue architecture and cell morphology, while simultaneously linking them to the functional states of individual cells across the entire slide. By analyzing tissue biopsies from patients with ulcerative colitis, we demonstrate the potential of this pipeline for quantitative spatial analysis of molecular markers related to mucosal healing. Open-source and compatible with conventional microscopy systems, this pipeline provides a powerful tool for research and clinical applications through its comprehensive integration of quantitative, high-content, and histological imaging modalities.

用于组织结构和组织微环境定量映射的多模态整片图像处理流水线。
多模态、多尺度成像是定量高含量空间剖面的关键。我们提出了一种集成的图像处理管道,用于全面的组织分析,结合了用于组织结构制图的定量相显微镜,用于免疫微环境分析的超复合荧光成像和全片组织病理学。这种方法可以对组织结构和细胞形态进行详细的形态学映射,同时将它们与整个幻灯片上单个细胞的功能状态联系起来。通过分析溃疡性结肠炎患者的组织活检,我们证明了该管道对与粘膜愈合相关的分子标记进行定量空间分析的潜力。开放源代码并与传统显微镜系统兼容,该管道通过其定量、高含量和组织学成像模式的全面集成,为研究和临床应用提供了强大的工具。
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