Data interpretation in histology involves comparing the quantitative results with known normal tissue parameters and identifying deviations that indicate pathology. Statistical analyses, such as t-tests or ANOVA, are often used to determine the significance of observed differences. Visual aids like heatmaps and scatter plots can help in the interpretation and presentation of complex data sets.
