BioinformaticsProceedings of the National Academy of SciencesPeer-reviewed
Label-free assessment of red blood cell storage lesions by deep learning
Minh Doan, Joseph A. Sebastian, Juan Carlos Caicedo…·Anne Elizabeth Carpenter
This study uses deep learning and label-free imaging flow cytometry to classify red blood cell morphologies during storage, achieving 90% accuracy and predicting expiration dates based on morphological changes.