Data overload in Histology refers to the overwhelming amount of data that histologists need to analyze and interpret. With advancements in digital imaging and high-throughput techniques, the volume of data generated from tissue samples has exponentially increased. While these technologies offer unprecedented insights, they also pose significant challenges in data management, analysis, and interpretation.
