Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data.

ABSTRACT: The rapid development of highly multiplexed microscopy systems has enabled the study of cells embedded within their native tissue, which is providing exciting insights into the spatial features of human disease [1]. However, computational methods for analyzing these high-content images are still emerging, and there is a need for more robust and generalizable tools for evaluating the cellular constituents and underlying stroma captured by high-plex imaging [2]. To address this need, we have adapted spectral angle mapping - an algorithm used widely in hyperspectral image analysis - to compress the channel dimension of high-plex immunofluorescence images. As many high-plex immunofluorescence imaging experiments probe unique sets of protein markers, existing cell and pixel classification model

SUBMITTER: Durkee MS 

PROVIDER: S-EPMC10802447 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature