Spatial proteomics is the study of the spatial distribution of the proteins within cells and tissues. The subcellular localization of proteins is intrinsic to cellular function, making spatial ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

CHICAGO--(BUSINESS WIRE)--Nucleai, an AI-powered spatial biomarker and diagnostics company, today announced the launch of its deep learning model that automates the normalization of high-plex imaging ...

Current high-plex approaches for studying single-cell biology, such as flow cytometry and single-cell RNA sequencing, reveal the cell populations present in a sample but are unable to characterize the ...