FLINO-A new method for immunofluorescence bioimage normalization.

ABSTRACT: Multiplexed immunofluorescence bioimaging of single-cells and their spatial organization in tissue holds great promise to the development of future precision diagnostics and therapeutics. Current multiplexing pipelines typically involve multiple rounds of immunofluorescence staining across multiple tissue slides. This introduces experimental batch effects that can hide underlying biological signal. It is important to have robust algorithms that can correct for the batch effects while not introducing biases into the data. Performance of data normalization methods can vary among different assay pipelines. To evaluate differences, it is critical to have a ground truth dataset that is representative of the assay. A new immunoFLuorescence Image NOrmalization (FLINO) method is presented and eval

SUBMITTER: Graf J 

PROVIDER: S-EPMC8723144 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature