What are the Future Directions in Spatial Context Research?

Advancements in technology are opening new avenues for research in spatial context:

Single-Cell Analysis: Combining spatial context with single-cell RNA sequencing can provide insights into cellular heterogeneity and tissue organization.
Machine Learning: Algorithms can analyze complex histological images, identifying patterns and relationships that may not be apparent to human observers.
Spatial Transcriptomics: This emerging field combines histology with genomics to map gene expression patterns within tissues, providing a deeper understanding of tissue function and pathology.