Label-Free Identification of White Blood Cells Using Machine Learning.

Label-Free Identification of White Blood Cells Using Machine Learning.

Publication date: May 13, 2019

White blood cell (WBC) differential counting is an established clinical routine to assess patient immune system status. Fluorescent markers and a flow cytometer are required for the current state-of-the-art method for determining WBC differential counts. However, this process requires several sample preparation steps and may adversely disturb the cells. We present a novel label-free approach using an imaging flow cytometer and machine learning algorithms, where live, unstained WBCs were classified. It achieved an average F1-score of 97% and two subtypes of WBCs, B and T lymphocytes, were distinguished from each other with an average F1-score of 78%, a task previously considered impossible for unlabeled samples. We provide an open-source workflow to carry out the procedure. We validated the WBC analysis with unstained samples from 85 donors. The presented method enables robust and highly accurate identification of WBCs, minimizing the disturbance to the cells and leaving marker channels free to answer other biological questions. It also opens the door to employing machine learning for liquid biopsy, here, using the rich information in cell morphology for a wide range of diagnostics of primary blood. © 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.

Nassar, M., Doan, M., Filby, A., Wolkenhauer, O., Fogg, D.K., Piasecka, J., Thornton, C.A., Carpenter, A.E., Summers, H.D., Rees, P., and Hennig, H. Label-Free Identification of White Blood Cells Using Machine Learning. 04590. 2019 Cytometry A.

Concepts Keywords
Blood White blood cell
Cytometry Complete blood count
Differential Flow cytometry
F1 Score Medical tests
Flow Cytometer Laboratory techniques
Immune System Clinical pathology
Lymphocytes Cell biology
Morphology Blood tests
Open Source Medicine
WBC Branches of biology
Wiley Periodicals Inc


Type Source Name
pathway BSID Immune System

Original Article

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