Multi-parameter phenotyping of platelets and characterisation of the effects of agonists using machine learning
A. Vadgama, J. Boot, H. E. Allan, C. A. Mein, P. C. Armstrong, 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.
bioRxiv · Dec 8, 2023Immunology