A platform-independent framework for phenotyping of multiplex tissue imaging data.

ABSTRACT: Multiplex imaging is a powerful tool to analyze the structural and functional states of cells in their morphological and pathological contexts. However, hypothesis testing with multiplex imaging data is a challenging task due to the extent and complexity of the information obtained. Various computational pipelines have been developed and validated to extract knowledge from specific imaging platforms. A common problem with customized pipelines is their reduced applicability across different imaging platforms: Every multiplex imaging technique exhibits platform-specific characteristics in terms of signal-to-noise ratio and acquisition artifacts that need to be accounted for to yield reliable and reproducible results. We propose a pixel classifier-based image preprocessing step that aims to m

SUBMITTER: Ahmadian M 

PROVIDER: S-EPMC10547204 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature