Differential of leukocytes based on electrical impedances and fluorescent images coupled with neural networks

Differential of leukocytes based on electrical impedances and fluorescent images coupled with neural networks. Conclusion: this study reported a comparable classification accuracy of 95.4% for the 4-part leukocyte differential based on fluorescent images and ResNet18. Furthermore, in this study, an almost 100% leukocyte differential was realized by combining both imaging and impedance data of single cells, producing the highest values in the field of leukocyte differentials.