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

ABSTRACT:

Purpose

The rapid development of highly multiplexed microscopy has enabled the study of cells embedded within their native tissue. The rich spatial data provided by these techniques have yielded exciting insights into the spatial features of human disease. However, computational methods for analyzing these high-content images are still emerging; there is a need for more robust and generalizable tools for evaluating the cellular constituents and stroma captured by high-plex imaging. To address this need, we have adapted spectral angle mapping-an algorithm developed for hyperspectral image analysis-to compress the channel dimension of high-plex immunofluorescence (IF) images.

Approach

Here, we present pseudo-spectral angle mapping (pSAM), a robust and flexible method for deter

SUBMITTER: Torcasso MS 

PROVIDER: S-EPMC11629784 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature