Microscopic Imaging: When different sections of tissue are stained and observed under a microscope, certain features may appear similar or identical, leading to overlap in data interpretation. Experimental Redundancy: Conducting similar experiments on the same tissue type can result in overlapping data sets, especially if identical or comparable methodologies are used. Bioinformatics: In computational analysis of histological data, algorithms may identify overlapping regions of interest, particularly when analyzing large datasets or integrating data from multiple sources.
