Label-Free High-Throughput Leukemia Detection by Holographic Microscopy

Ugele M, Weniger M, Stanzel M, Bassler M, Krause S, Friedrich O, Hayden O, Richter L (2018)

Publication Type: Journal article

Publication year: 2018

Journal

Advanced Science Wiley Open Access

Book Volume: 5

Journal Issue: 12

DOI: 10.1002/advs.201800761

Abstract

Complete blood count and differentiation of leukocytes (DIFF) belong to the most frequently performed laboratory diagnostic tests. Here, a flow cytometry-based method for label-free DIFF of untouched leukocytes by digital holographic microscopy on the rich phase contrast of peripheral leukocyte images, using highly controlled 2D hydrodynamic focusing conditions is reported. Principal component analysis of morphological characteristics of the reconstructed images allows classification of nine leukocyte types, in addition to different types of leukemia and demonstrates disappearance of acute myeloid leukemia cells in remission. To exclude confounding effects, the classification strategy is tested by the analysis of 20 blinded clinical samples. Here, 70% of the specimens are correctly classified with further 20% classifications close to a correct diagnosis. Taken together, the findings indicate a broad clinical applicability of the cytometry method for automated and reagent-free diagnosis of hematological disorders.

Authors with CRIS profile

Stefan Krause Department of Medicine 5 – Haematology and Oncology Oliver Friedrich Lehrstuhl für Medizinische Biotechnologie

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE) Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. DE Germany (DE)

How to cite

APA:

Ugele, M., Weniger, M., Stanzel, M., Bassler, M., Krause, S., Friedrich, O.,... Richter, L. (2018). Label-Free High-Throughput Leukemia Detection by Holographic Microscopy. Advanced Science, 5(12). https://doi.org/10.1002/advs.201800761

MLA:

Ugele, Matthias, et al. "Label-Free High-Throughput Leukemia Detection by Holographic Microscopy." Advanced Science 5.12 (2018).

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