Data overlap in histology refers to the phenomenon where information from different sources or experiments intersect or coincide. This can occur in various forms, such as overlapping features in tissue sections, similarities in experimental results, or redundancies in data sets. Understanding data overlap is crucial for accurate analysis and interpretation of histological findings.
