Multi-parameter phenotyping of platelets and characterisation of the effects of agonists using machine learning
A. Vadgama, J. Boot, H. E. Allan…·T. D. Warner
This paper uses multi-parameter flow cytometry and machine learning to characterize platelet sub-populations and their responses to agonists, achieving high accuracy in distinguishing platelet age and activation states.