Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data

Abstract Spatial protein expression technologies can map cellular content and organization by simultaneously quantifying the expression of >40 proteins at subcellular resolution within intact tissue sections and cell lines. However, necessary image segmentation to single cells is challenging and...

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Bibliographic Details
Main Authors: Yuju Lee, Edward L. Y. Chen, Darren C. H. Chan, Anuroopa Dinesh, Somaieh Afiuni-Zadeh, Conor Klamann, Alina Selega, Miralem Mrkonjic, Hartland W. Jackson, Kieran R. Campbell
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55214-w
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