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Updated: Apr 11, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
STAPLE: automating spatial transcriptomics analysis and AI interpretation
Dmitrijs Lvovs1,2,3, Jeffrey Quinn4, André Forjaz5
1Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA.
Abstract:
Spatial transcriptomics workflows often span separate tools for cell typing, neighborhoods, and cell-cell communication, yielding fragmented outputs that hinder scalability, interpretation, and reproducibility. STAPLE systematizes analyses across distinct methods into a modular framework, unifying data structures and cross-tool interoperability. End-to-end analyses are performed unassisted with a single invocation, fostering rigorous, reproducible spatial transcriptomics analysis. Its novel, AI-enabled reporting layer synthesizes quantitative results into summaries of biological findings, facilitating analysis interpretation.

