Despite its potential, histometabolomics faces several challenges: - Sample Preparation: Maintaining the integrity of metabolites during tissue preparation and storage is critical to ensure accurate results. - Data Integration: Combining large datasets from histology and metabolomics requires advanced bioinformatics tools and approaches to extract meaningful insights. - Standardization: Establishing standardized protocols for sample collection, processing, and data analysis is essential for reproducibility and comparison across studies.
