Despite its advantages, multimodal analysis in histology faces several challenges:
Data Complexity: Managing and integrating diverse datasets can be technically challenging and resource-intensive. Resolution Discrepancy: Different techniques may have varying spatial resolutions, making data alignment difficult. Sample Preparation: Preparing samples for multiple modalities can be complex and may require specialized protocols. Interpretation: Integrating and interpreting multimodal data requires expertise in multiple disciplines, including histology, molecular biology, and computational science.