What Challenges Exist in Integrating Omics Data with Histology?
Despite the advantages, several challenges persist:
Complex Data Integration: Combining large datasets from different omics layers with histological information can be computationally intensive. Spatial Resolution: Achieving high spatial resolution while maintaining molecular integrity is technically challenging. Data Interpretation: Interpreting multi-omics data within the histological context requires advanced bioinformatics tools and expertise. Sample Preparation: Preparing tissue samples in a way that preserves both molecular and morphological features is critical yet difficult.
