Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images.

ABSTRACT: Multiplexed imaging is a nascent single-cell assay with a complex data structure susceptible to technical variability that disrupts inference. These in situ methods are valuable in understanding cell-cell interactions, but few standardized processing steps or normalization techniques of multiplexed imaging data are available. We implement and compare data transformations and normalization algorithms in multiplexed imaging data. Our methods adapt the ComBat and functional data registration methods to remove slide effects in this domain, and we present an evaluation framework to compare the proposed approaches. We present clear slide-to-slide variation in the raw, unadjusted data, and show that many of the proposed normalization methods reduce this variation while preserving and improving th

SUBMITTER: Harris CR 

PROVIDER: S-EPMC8896603 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature