# From images to insights - Deep spatial profiling reveals disease and treatment biomarkers

**Poster**  
November 1, 2023

Recent advances in high-parameter spatial biology have yielded a rapidly growing new class of biological data, allowing researchers to more comprehensively characterize cellular state and morphology in native tissue context. However, spatial biology lacks a cohesive data abstraction on which to build novel computational tools and algorithms, making it difficult to fully leverage these emergent data. Here, we present emObject, a domain-specific data abstraction for spatial biology data and experiments. We demonstrate the simplicity, flexibility, and extensibility of emObject for a range of spatial omics data types, including the analysis of Visium, MIBI, and CODEX data, as well as for integrated spatial multiomic experiments.

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[Non-small cell lung cancer (NSCLC)](https://www.enablemedicine.com/use-case/non-small-cell-lung-cancer-nsclc)  
[Spatial cellular profiling](https://www.enablemedicine.com/use-case/spatial-cellular-profiling)  
[Spatial analysis](https://www.enablemedicine.com/use-case/spatial-analysis)  
[Biomarkers](https://www.enablemedicine.com/use-case/biomarkers)  
[Head-and-neck cancer](https://www.enablemedicine.com/use-case/head-and-neck-cancer)