Harvard’s Center for Computational Biomedicine supports experimental labs to analyze their data computationally. This project focuses on high-resolution microscopy data, particularly images of tissue. Spatial omics aim to identify single molecules within microscopic images. These large datasets are challenging to analyze using R or Python alone. Modern relational databases directly support spatial data types and are designed for working with large data. This project explores whether database queries are a more scalable alternative for processing and analysis of cellular maps.