Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Unsupervised flow cytometry analysis in hematological malignancies: A new paradigm

Abstract : Ever since hematopoietic cells became "events" enumerated and characterized in suspension by cell counters or flow cytometers, researchers and engineers have strived to refine the acquisition and display of the electronic signals generated. A large array of solutions was then developed to identify at best the numerous cell subsets that can be delineated, notably among hematopoietic cells. As instruments became more and more stable and robust, the focus moved to analytic software. Almost concomitantly, the capacity increased to use large panels (both with mass and classical cytometry) and to apply artificial intelligence/machine learning for their analysis. The combination of these concepts raised new analytical possibilities, opening an unprecedented field of subtle exploration for many conditions, including hematopoiesis and hematological disorders. In this review, the general concepts and progress achieved in the development of new analytical approaches for exploring high-dimensional data sets at the single-cell level will be described as they appeared over the past few years. A larger and more practical part will detail the various steps that need to be mastered, both in data acquisition and in the preanalytical check of data files. Finally, a step-by-step explanation of the solution in development to combine the Bioconductor clustering algorithm FlowSOM and the popular and widely used software Kaluza® (Beckman Coulter) will be presented. The aim of this review was to point out that the day when these progresses will reach routine hematology laboratories does not seem so far away
Document type :
Journal articles
Complete list of metadata
Contributor : Elizabeth Bernardo Connect in order to contact the contributor
Submitted on : Tuesday, October 5, 2021 - 10:31:20 AM
Last modification on : Wednesday, April 27, 2022 - 3:47:22 AM
Long-term archiving on: : Thursday, January 6, 2022 - 6:22:12 PM


 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : jamais

Please log in to resquest access to the document




Marie C Béné, Francis Lacombe, Anna Porwit. Unsupervised flow cytometry analysis in hematological malignancies: A new paradigm. International Journal of Laboratory Hematology, Wiley, 2021, 43 (1), pp.54-64. ⟨10.1111/ijlh.13548⟩. ⟨inserm-03365100⟩



Record views