Despite its advantages, molecular histology faces challenges such as the complexity of data analysis, the need for specialized equipment and expertise, and the potential for variability in sample preparation and staining. Overcoming these challenges requires standardization of protocols, advanced computational tools, and continuous training of personnel.
