Key Points • A novel image flow cytometric machine learning tool was developed that robustly identified sickled cells and their constituent hemoglobin.• Multiple mechanisms of resistance are offered by sickle/sickle… Click to show full abstract
Key Points • A novel image flow cytometric machine learning tool was developed that robustly identified sickled cells and their constituent hemoglobin.• Multiple mechanisms of resistance are offered by sickle/sickle trait red blood cells against Babesia, especially in low-oxygen environments.
               
Click one of the above tabs to view related content.