ArticleResearch square2026
Cross-Modality Alignment of Spatial Transcriptomics, Multiplexed Imaging, and Histology with PHARAOH.
Sicong Yao, Zehua Jing, Shunzhou Jiang, Wei Li, Yoshiaki Yamamoto, Bernhard Dumoulin, Nadja Sachs, Lars Maegdefessal, Katalin Susztak, Linghua Wang and 2 more
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In one paragraphArticle in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 · What the graph read from itWhat it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Sicong YaoStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Zehua JingStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-7275-0869 Shunzhou JiangStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0009-0000-7309-2389 Wei LiStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-9186-1142 Yoshiaki YamamotoStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Bernhard DumoulinRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Nadja SachsDepartment for Vascular and Endovascular Surgery, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0001-8031-017X Lars MaegdefessalGerman Center for Cardiovascular Research (DZHK), Berlin, Germany; partner site Munich Heart Alliance, Germany.ORCID 0000-0001-5228-2634 Katalin SusztakRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-1005-3726 Humam KadaraThe University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.ORCID 0000-0003-2976-9115 Mingyao LiStatistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-8180-0621 Funding
Center for Gastric Pre-Cancer Atlas of Multidimensional Evolution in 3D (GAME3D)U01CA294518 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Paul F Mansfield, Linghua Wang · 2024 to 2026
$5.4MIntegrative analysis of spatial transcriptomics with histology images and single cellsR01HG013185 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Mingyao Li · 2023 to 2026
$2.2MIntegration of spatial transcriptomics, genetics, and histomorphology for causal inference in atherosclerotic cardiovascular diseaseR01HL171595 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Muredach P Reilly · 2024 to 2026
$2.0MDeveloping informatics tools to predict virtual spatial transcriptomics data with single-cell resolution in large-scale studiesR01LM014592 · NLM · UNIVERSITY OF PENNSYLVANIA · PI Mingyao Li · 2024 to 2026
$1.1MNCI NIH HHS U01 CA294518NHGRI NIH HHS R01 HG013185NHLBI NIH HHS R01 HL171595NLM NIH HHS R01 LM014592
6 · The paper itselfAbstract
Accurate cross-modality alignment between spatial transcriptomics (ST), multiplexed imaging, and histology is essential for spatially contextualized molecular analysis. In imaging-based ST platforms, molecular measurements are defined in the coordinate system of nuclear-stained images rather than in histological space, requiring precise registration for accurate integration with tissue morphology. Existing approaches either rely on labor-intensive manual landmark placement or lack the precision required for cellular-resolution alignment. Here we present PHARAOH, a hierarchical framework for cross-modality alignment of ST, multiplexed imaging, and histology. By combining global structural alignment with automated nuclear landmark anchoring, PHARAOH enables accurate coordinate transfer between molecular imaging and histological space with minimal user input. Across diverse tissue types, imaging platforms, and staining conditions, PHARAOH consistently achieved fast, robust, and spatially precise alignment, including across adjacent tissue sections. The framework further generalizes to multiplexed immunofluorescence imaging, providing a unified and scalable strategy for integrating spatial molecular measurements with histological architecture.
Identifiers
PMID42370255
PMCPMC13308372
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