Flow Cytometry: Basic Principles and Applications
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cell Methods".
Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 29904
Special Issue Editors
Interests: flow cytometry; neutrophil; infection; immunity; eosinophils
Interests: flow cytometry; data analysis; chemometrics; matlab; bioinformatics
Special Issue Information
Dear Colleagues,
Flow cytometry is an indispensable technique in clinical diagnostics and immunological and hematological research. This Special Issue in Cells will highlight the powerful applications of this technique as well as the pitfalls in both data acquisition and interpretation. Therefore, several aspects will be discussed in detail: Firstly, data pre-processing with a focus on: i. correct settings of the hardware and ii. correct transformation of the data to avoid erroneous results caused by inadequate processing. Secondly, the vast increase in fluorescent labels comes with essential and complex issues associated with correct compensation. Thirdly, as the data obtained via cytometry are multidimensional in nature, the choice of dimension reduction algorithms is key, as their use depends on the application. Finally, the translation of algorithms described in complex software environments such as R, Matlab and Python must be applied to easy-to-use and intuitive graphical user interfaces, aiding care professionals’ clinical decision making with limited background in flow cytometry. Several articles will describe newly developed applications both based on multicolor fluorescence and multi-mass cytometry. Last but not least, an article will deal with recent developments of point-of-care, 24/7, fully automated flow cytometry that can be implemented outside the walls of a large hospital.
Prof. Dr. Leo Koenderman
Dr. G. H. Tinnevelt
Dr. Nienke Vrisekoop
Guest Editors
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Keywords
- multi-color flow cytometry
- multi-dimensional analysis
- compensation
- transformation
- automation
- point-of-care
- mass cytometry
- software
- immune monitoring and minimal residual disease.
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