Artifacts in spatial transcriptomics data: their detection, importance, prevalence, and prevention.

ABSTRACT: Data artifacts may induce errors in findings from any spatial transcriptomics platform. To provide protection from these errors, we have developed Border, Location, and edge Artifact DEtection (BLADE). BLADE is a novel collection of automated cross-platform statistical methods for detecting and removing three types of artifacts: (i) border effects, where total gene reads is modified at the border of the capture area; (ii) tissue edge effects, where total gene reads is modified at the edge of the tissue; (iii) location batch malfunctions, where there is a zone in the same location on all slides in a batch with substantially decreased sequencing depth. These artifacts are not mutually exclusive. BLADE has been applied to both Visium and CosMx data, and was used to evaluate our library of 37

SUBMITTER: Kummerfeld E 

PROVIDER: S-EPMC12315538 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature