Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers.

Giorgio Da RinM VidaliF BalboniA BenegiamoM BorinM L CiardelliF DimaA Di FabioA FanelliF FioriniS FrancioneL GermagnoliM GioiaT LariM LorubbioA MariniA PapaM SeghezziL SolarinoS PipitoneE TiloccaSabrina Buoro

Published in: International journal of laboratory hematology (2017)

Regards to NRBC counting, the performances shown by BC-6800, XN-module, and XE-2100 are excellent also a low count, ADVIA 2120i and UniCel DxH 800 need to be improved.

Keyphrases

red blood cell
peripheral blood
machine learning
deep learning
cord blood
high throughput