dvp-protocol-code

Spatial proteomics enables the molecular characterization of cells within their native tissue architecture. Deep Visual Proteomics (DVP) is a spatial proteomic approach that combines high-resolution imaging, machine learning-guided cell classification, laser microdissection, and ultra-sensitive mass spectrometry (MS) to quantify thousands of proteins from morphologically defined cell populations. In this repository, we share the code and example data to reproduce a standard DVP analysis for the dissection of a single cell type.