Nucleai’s ATOM spatial biology platform leverages computer vision and deep neural networks to structure and characterize tissue and cell architecture in cancer pathology images – helping identify spatial characteristics that predict response to therapy and inform treatment decisions. So you can better understand cancer biology, optimize patient stratification and improve patient care.
Structure and characterize tissue and cell architecture from H&E, IHC, and Multiplex images.
Calculate spatial features to better explain mechanism of action and biological phenomena.
Leverage spatial analysis to predict outcomes, genomic status, and protein signatures.
Nucleai ATOM offers powerful multiplex analysis. The platform is agnostic to staining and scanning platforms and is currently available in a comprehensive service mode, providing fast turnaround times for high plex, large datasets.
To learn more about our AI-powered spatial biology platform
