Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images

HIGHLIGHTS

• What: The authors propose methods that can retain valuable information from the interstitial spaces between cells while providing an automated framework for rapid annotation of known cell types by collapsing the "spectral" or "channel" dimension of highly multiplexed IF images. The authors demonstrate that Journal of Medical Imaging Nov∕Dec 2024. pSAM is a readily adaptable method that will expedite the quantification of highly multiplexed imaging data for studying spatial immunity and spatial biology. Note that the authors demonstrate pSAM in three kidney samples from a larger dataset, so the five samples used for the evaluation of . . .
  

   

  

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