CyLinter featured in Human Tumor Atlas Network Paper Bundle

A Nature Special Feature highlighted recent work from Greg Baker and Peter Sorger, “Quality control for single-cell analysis of high-plex tissue profiles using CyLinter,” published in Nature Methods. Their work was part of the broader Human Tumor Atlas Network, which aims to expand understanding of tumor evolution. 

In CyLinter, Baker and team show that image artifacts are common in tissue imaging datasets and make it difficult to draw biological conclusions from the raw single-cell data. Their new software tool, CyLinter, helps solve this problem with a human-in-the-loop approach for removing artifacts from imaging data. CyLinter improves the interpretability of the derived single-cell data and is particularly useful when tissue is limited, such as with samples from clinical trials.