Data interpretation in histology should be objective and free from bias. Quantitative analysis methods, such as image analysis software, can provide unbiased measurements of tissue features. Furthermore, involving multiple observers and conducting blind analyses can reduce subjective bias. Statistical analysis is also important to validate findings and determine their significance.
