Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease
Allam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/58ad3fe1ce344e29a65c37672e679c0a |
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| Sumario: | Allam, Hu, et al. present SpatialViz, a suite of algorithms to explore spatial relationships in multiplexed tissue images by visualizing and quantifying single-cell granularity and anatomical complexity in diverse multiplexed tissue imaging data. The authors employ SpatialViz on 20-plex protein data in tissue sections from normal and chronic tonsillitis cases and observe GrB and CD86 coexpression and CD3 + CD4+ enrichment in diseased tonsils compared to healthy tonsils, and demonstrate the utility of SpatialViz as a wide-application spatial visualization method. |
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