Fig. 1

Discriminations of leukocytes from patient with CML by ghost cytometry (GC). (A) Principle of the AI-driven GC was illustrated. Waveform signals containing the morphological information of the cells obtained by GC were analyzed using AI to distinguish two kinds of cells. The classification accuracy was evaluated by F1 score, harmonic means of precision and recall. (B) Leukocytes obtained from CML patients and healthy individual were divided into WBCs, granulocytes, and lymphocytes from SSC-FSC scattergram. (C) The classification accuracy of F1 score between WBC, Granulocytes, and Lymphocytes from CML patients at diagnosis and those from healthy individual (n = 8). CML chronic myeloid leukemia, AI artificial intelligence, GC ghost cytometry, WBCs white blood cells, SSC side scatter, FSC forward scatter.